Digital welding and cutting efficiency analysis, process evaluation and response feedback system for process optimization

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

None.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

None.

Joint Research Agreement

None.

Incorporation-By-Reference of the Material on Compact Disc

None.

Prior Disclosures by the Inventor or a Joint Inventor

None,

BACKGROUND OF THE INVENTION

Welding and cutting process inefficiency drift is a common problem in the industry. While spot checks and corrective actions for improvements in process efficiency yield immediate, localized improvements, invariably the process begins to drift away from ideal conditions again.

There are process analyzers available to measure specific process parameters (i.e. electrical consumption, wire consumption, gas consumption, etc.). An example is U.S. Pat. No. 7,227,099B2, “System and method for improving the productivity of a welding shop”, which is incorporated by reference herein. These analyzers typically operate stand alone, the data is not integrated into a comprehensive analytics program, and ultimately does not provide feedback for overall operational process control improvement or specific recommendations that address multiple aspects of the welding or cutting process. As such, slow deviations from ideal process control parameters go unnoticed by process owners over time, resulting in higher costs of inefficiency, productivity and quality.

Operational (macro) level evaluations of welding and fabrication has been performed largely by experienced consultants performing onsite inspections and training. An example of this are the services provided by OMNIWELD™. While generally beneficial and effective, such operations audits vary in scope, degree of effectiveness, degree of consistency, and cannot be performed continuously or with high frequency.

BRIEF SUMMARY OF THE INVENTION

The inventors have concluded, that a system that provides process tracking analytics and control can be created by using a database of process consumables data, ratios thereof, and correlations or these ratios to process inefficiencies.

This application discloses a process for capturing, tracking, and evaluating welding & cutting process consumables data and making automatic process improvement actions or automatically providing alerts and recommendations for process improvement actions to be taken by the process owner or weld process specialists. The following numbered sentences detail some aspects, features and embodiments:

SENTENCE 1. A metals welding or metals cutting process, the method comprising:

• • a) performing a first welding or cutting process,
  • b) consuming of two or more consumables in the first welding or cutting process,
  • c) receiving from a process improvement system a communication comprising one or more of (i) a performance parameter representing the first welding or cutting process, (ii) a welding or cutting process efficiency benchmark, (iii) a degree of deviation of the performance parameter to the welding or cutting process efficiency benchmark, (iv) a consumables data, and (v) a process recommendation which is based at least in part on the performance parameter representing the first welding or cutting process, and
  • d) implementing a process correction based on the communication of step c),
  • e) performing a second welding or cutting process,
  • f) wherein the process correction of step d) results in an efficiency improvement of the second welding or cutting process of step e) compared to the first welding or cutting process.

SENTENCE 2. The method of Sentence 1, further comprising a step of (i) providing consumables data b) to a process improvement system or (ii) providing an access to a process improvement system wherein the access is capable of transferring the consumables data of step b) to the process improvement system.

SENTENCE 3. The method of Sentences 1 and/or 2, comprising the step of providing the consumables data of step b) to a process improvement system.

SENTENCE 4. The method of Sentences 2 and/or 3, wherein the step of providing the consumables data of step b) to a process improvement system comprises a process owner placing purchase orders or other purchasing requests for the consumables with one or more suppliers of the consumables.

SENTENCE 5. The method of Sentences 1, 2, 3 and/or 4, comprising the step of providing the access to the process improvement system.

SENTENCE 6. The method of Sentences 1, 2, 3, 4 and/or 5, wherein the process improvement system access to the consumables data of step b) comprises one or more of access to data from a process owner's computer implemented inventory, supply and/or procurement systems.

SENTENCE 7. The method of Sentences 1, 2, 3, 4, 5 and/or 6, wherein the two or more consumables are selected from shielding gases, cutting gases, welding filler metal/wire, welding contact tips, cutting tips, wire nozzles, diffusors, welding gun liners, power, and spatter grinders.

SENTENCE 8. The method of Sentences 1, 2, 3, 4, 5, 6 and/or 7, wherein the increased efficiency of the second welding or cutting process compared to the first welding process is selected from a reduced consumption of one or more consumable, an improved weld or cut quality, an increased welding or cutting speed, a reduced equipment down time rate, and a reduced frequency of an equipment malfunction event.

SENTENCE 9. The method of Sentences 1, 2, 3, 4, 5, 6, 7 and/or 8, wherein the performance parameters representing the first welding or cutting process are selected from a) ratio or proportions of Purchased or Consumed Shielding Gas Components, b) a ratio of Purchased or Consumed Shielding Gas to Welding Wire, c) a ratio of Purchased or Consumed Welding Wire to Welding Contact Tips, d) a ratio of Purchased or Consumed Welding Wire to Welding Nozzles, e) a ratio of Purchased or Consumed Welding Wire to MIG Welding Guns, f) a ratio of Purchased or Consumed Welding Wire to Weld Gun Liners, g) a ratio of Purchased or Consumed Welding Wire to Weld Gas Diffusers, h) ratio of Purchased or Consumed Welding Wire to Weld Grinding Wheels, and i) a ratio of Purchased or Consumed Welding Wire to Weld Nozzle Shield Spray.

SENTENCE 10. The method of Sentences 1, 2, 3, 4, 5, 6, 7, 8 and/or 9, wherein the communication comprises one or more benchmarks and a degree of deviation between i) a performance parameter representing the first welding or cutting process and ii) at least one corresponding benchmark.

SENTENCE 11. The method of Sentence 10, wherein the benchmark is based on a comparator data set obtained from independent welding or cutting processes previously classified in a classification group shared by the first welding or cutting process.

SENTENCE 12. The method of Sentence 11, wherein the benchmark is based on a comparator data set of historical data obtained from a same welding or cutting operation or facility as the first welding or cutting process.

SENTENCE 13. The method of Sentences 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and/or 12, wherein the communication comprises one or more process recommendations based on one or more performance parameters representing the first welding or cutting process, the one or more performance parameters selected from a) ratio or proportions of Purchased or Consumed Shielding Gas Components, b) a ratio of Purchased or Consumed Shielding Gas to Welding Wire, c) a ratio of Purchased or Consumed Welding Wire to Welding Contact Tips, d) a ratio of Purchased or Consumed Welding Wire to Welding Nozzles, e) a ratio of Purchased or Consumed Welding Wire to MIG Welding Guns, f) a ratio of Purchased or Consumed Welding Wire to Weld Gun Liners, g) a ratio of Purchased or Consumed Welding Wire to Weld Gas Diffusers, h) ratio of Purchased or Consumed Welding Wire to Weld Grinding Wheels, and i) a ratio of Purchased or Consumed Welding Wire to Weld Nozzle Shield Spray,

SENTENCE 14. The method of Sentence 13, wherein the process recommendation, the process correction and the increased efficiency of the second welding or cutting process compared to the first welding process correspond to one or more of the rows in the following table:

	PROCESS
PERFORMANCE	RECOMMENDATION &	EFFICIENCY
PARAMETER	CORRECTION	IMPROVEMENT
Purchased or	For process owners using a	Reduced
Consumed	shielding gas supply system that	shielding
Shielding Gas to	feeds multiple welding or cutting	gas consumption.
Welding Wire	sites within an operation, check	Reduce weld
ratio is high.	for and fix gas leaks, surges and	discontinuities/
	overflow throughout the gas	defects.
	distribution system.
Purchased or	Measure and check for Electrical	Reduced Weld
Consumed	Resistance poor lead	Spatter, Reduce
Welding	connections or improper cable	Weld
Wire to Welding	size, Develop and run proper	Discontinuities,
Contact Tips ratio	Weld Parameters, Look for	and Reduce tip
is outside targeted	Poor parts Fit Up and correct	consumption,
range	upstream cutting forming	Increase Arc ON
	process, Replace Wrong GMAW	Time, Reduce
	consumables, Test and train	Grinding, and
	Welders on proper procedure	Reduced Rework.
	Repair Shield Gas leaks or mix
	Issue. Put proper PM program for
	Liner replacement
Purchased or	Check for Use of Correct Parts,	Reduced nozzle
Consumed	Use positioner to weld in	consumption,
Welding	position, eliminate Electrical	Increased cell
Wire to Welding	Resistance, Test and Train	productivity with
Nozzles ratio is	Welder on proper procedure.	higher deposition
outside targeted	Create 5-S program for work	rates, reduction in
range	cells	spatter. reduce
		need for grinding
Purchased or	Use Maintenance Program to	Reduce
Consumed	review gun daily for issues, Start	Consumption.
Welding	5S program (parts in place), Use	Increased Arc-on
Wire to MIG	Boom For feeder assembly to	time. Reduced
Welding Guns	keep gun from dragging on floor.	Rework.
ratio is outside	Replace consumables on a
targeted range	proper schedule, Check to see if
	correct amp gun is in place.
	Check gas flow for proper
	cooling and shielding
Purchased or	Replace Liner after every 500#	Consistent
Consumed	wire used per gun, Revise	feeding of wire.
Welding	Maintenance Program to review	Increased cell
Wire to Weld Gun	gun daily for issues, Use Boom	productivity.
Liners ratio is	For feeder assembly to keep gun	Fewer defects/
outside targeted	from dragging on floor.	discontinuities.
range		Eliminate wire
		feed issues
Purchased or	Use Correct Parts, Check for	Eliminate
Consumed	Electrical Resistance, and Train	electrical
Welding	Welder on proper procedure.	resistance, save
Wire to Weld Gas	Create 5-S program for work	time, reduction in
Diffusers ratio is	cells	consumption
outside targeted
range
Purchased or	Use correct Abrasive for	Save time on
Consumed	application, Eliminate Poor Fit-	secondary
Welding Wire to	Up. Repair up stream cutting/	process.
Weld Grinding	forming applications, Repair	Safer
Wheels ratio is	Shield Gas leaks. Automate	environment.
outside targeted	surface preparation for	Faster throughput.
range	weldments/eliminate oil, mill	Abrasive
	scale. Bevel plate correctly.	consumption
	Reduce consumption	reduction
Actual average	Increase wire feed speed. Put	Lower cost per
Melt Off Rate is	parts in position, Create Kan-Ban	part, better
below target	for parts.	penetration,
		higher
		travel speeds
Average Operator	Address material handling/	Higher
Factor is below	material flow throughout shop.	productivity.
target	Reduce secondary operations	Lower cost per
	i.e., grinding, use of nozzle spray,	part.
	and chipping/scraping spatter.	Higher
	Address parts fit up, create	quality
	tighter tolerances

SENTENCE 15. The method of Sentences 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 and/or 14, wherein the process correction is implemented by the process owner.

SENTENCE 16. The method of Sentences 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 and/or 14, wherein the process correction is implemented by feedback control to one or more welding or cutting equipment.

SENTENCE 17. The method of Sentences 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 and/or 14, wherein the process correction is implemented by the operator of the process improvement system.

SENTENCE 18. The method of Sentences 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 and/or 17, wherein the communication comprises an email, SENTENCE 19. The Sentences 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 and/or 17, wherein the communication comprises a webpage accessible via an internet.

SENTENCE 20. A method of improving a welding or cutting process to increase the efficiency based on the consumption rate of welding or cutting consumables, the method comprising:

• • (1) measuring a consumption of a plurality of consumables,
  • (2) quantifying a consumption rate of the plurality of consumables,
  • (3) calculating a ratio or proportion of two or more consumption rates to produce a performance parameter,
  • (4) comparing the performance parameter to a benchmark,
  • (5) calculating a degree of deviation of the performance parameter to the benchmark,
  • (6) communicating one or more of (i) the performance parameter, (ii) the benchmark, (iii) the degree of deviation calculated in step e),
  • (7) communicating a process recommendation based on one or more of (6)(i)-(iii), and
  • (8) implementing a process correction based on the communication of step (6),
  • (9) wherein the process correction of step (8) results in an efficiency improvement of the welding or cutting process.

SENTENCE 21. A method of improving a welding or cutting process to increase the efficiency of the process based on the consumption rate of consumables, the method comprising:

• • (1) performing a first welding or cutting process,
  • (2) consuming of two or more consumables in the first welding or cutting process,
  • (3) receiving from a process improvement system a communication comprising one or more of (i) a performance parameter representing the first welding or cutting process, (ii) a welding or cutting process efficiency benchmark, (iii) a degree of deviation of the performance parameter to the welding or cutting process efficiency benchmark, (iv) a consumables data, and (v) a process recommendation based on one or more of c)(i)-(iv), and
  • (4) implementing a process correction based on the communication of step (3) to perform a second welding or cutting process,
  • (5) wherein the process correction of step (4) results in an increased efficiency of the second welding or cutting process compared to the first welding or cutting process.

SENTENCE 22. The methods described in SENTENCES 1-21, each method further comprising one or more of (i.e. any combination of) the following feature(s) or detail(s):

• • Consumables are selected from shielding gases, cutting gases, welding filler metal/wire, welding contact tips, cutting tips, wire nozzles, diffusors, welding gun liners, power, spatter grinders, and other consumables such as personal protective equipment or other safety equipment.
  • Performance Parameters may be one or more of:
    • A ratio or proportions of Purchased or Consumed Shielding Gas Components (e.g. Ar:CO2; He:Ar; He:Ar CO2)
    • A ratio of Purchased or Consumed Shielding Gas to Welding Wire
    • A ratio of Purchased or Consumed Welding Wire to Welding Contact Tips
    • A ratio of Purchased or Consumed Welding Wire to Welding Nozzles
    • A ratio of Purchased or Consumed Welding Wire to MIG Welding Guns
    • A ratio of Purchased or Consumed Welding Wire to Weld Gun Liners
    • A ratio of Purchased or Consumed Welding Wire to Weld Gas Diffusers
    • A ratio of Purchased or Consumed Welding Wire to Weld Grinding Wheels
    • A ratio of Purchased or Consumed Welding Wire to Weld Nozzle Shield Spray
  • Additional operational data combined with consumables consumption rates to calculate a performance parameter may include one or more of:
    • Actual average Melt Off Rate (i.e. the weight or length of the electrode, wire, rod, or powder melted in a unit of time)
    • Average Operator Factor (i.e. the average percentage of the welders' work day that is actually spent welding for a specific welding or cutting process or location/operation)
    • Numbers of process operators (e.g. welders)
    • Number of automated equipment (e.g. robotic welding stations)
    • Amount of work hours performed by process operators such as welders (aggregated monthly total, weekly average, etc.)
  • Benchmarking may be performed by comparing process parameters with historical process parameter data for the same process site and/or by comparing process parameters to a data set of process parameter data from one or more other sites.
  • Performance Parameters, Process Corrections and Efficiency Improvements may be one or more of the following combinations of the three:

	PROCESS
PERFORMANCE	RECOMMENDATION &	EFFICIENCY
PARAMETER	CORRECTION	IMPROVEMENT
Purchased or	For process owners using	Reduced shielding
Consumed	a shielding gas supply	gas consumption.
Shielding Gas to	system that feeds multiple	Reduce weld
Welding Wire ratio	welding or cutting sites	discontinuities/
is high.	within an operation, check	defects.
	for and fix gas leaks,
	surges and overflow
	throughout the gas
	distribution system.
Purchased or	Measure and check for	Reduced Weld
Consumed	Electrical Resistance poor	Spatter, Reduce
Welding Wire to	lead connections or	Weld
Welding Contact	improper cable size,	Discontinuities, and
Tips ratio is	Develop and run proper	Reduce tip
outside targeted	Weld Parameters, Look	consumption,
range	for Poor parts Fit Up and	Increase Arc ON
	correct upstream cutting	Time, Reduce
	forming process,	Grinding, and
	Replace Wrong GMAW	Reduced Rework.
	consumables, Test and
	train Welders on proper
	procedure Repair Shield
	Gas leaks or mix Issue.
	Put proper PM program for
	Liner replacement
Purchased or	Check for Use of Correct	Reduced nozzle
Consumed	Parts, Use positioner to	consumption,
Welding Wire to	weld in position, eliminate	Increased cell
Welding Nozzles	Electrical Resistance, Test	productivity with
ratio is outside	and Train Welder on	higher deposition
targeted range	proper procedure. Create	rates, reduction in
	5-S program for work cells	spatter. reduce
		need for grinding
Purchased or	Use Maintenance Program	Reduce
Consumed	to review gun daily for	Consumption.
Welding Wire to	issues, Start 5S program	Increased Arc-on
MIG Welding	(parts in place), Use Boom	time. Reduced
Guns ratio is	For feeder assembly to	Rework.
outside targeted	keep gun from dragging on
range	floor. Replace
	consumables on a proper
	schedule, Check to see if
	correct amp gun is in
	place. Check gas flow for
	proper cooling and
	shielding
Purchased or	Replace Liner after every	Consistent feeding
Consumed	500# wire used per gun,	of wire, Increased
Welding Wire to	Revise Maintenance	cell productivity.
Weld Gun Liners	Program to review gun	Fewer defects/
ratio is outside	daily for issues, Use Boom	discontinuities.
targeted range	For feeder assembly to	Eliminate wire feed
	keep gun from dragging on	issues
	floor.
Purchased or	Use Correct Parts, Check	Eliminate electrical
Consumed	for Electrical Resistance,	resistance, save
Welding Wire to	and Train Welder on	time, reduction in
Weld Gas	proper procedure. Create	consumption
Diffusers ratio is	5-S program for work cells
outside targeted
range
Purchased or	Use correct Abrasive for	Save time on
Consumed	application, Eliminate Poor	secondary process.
Welding Wire to	Fit-Up. Repair up stream	Safer environment.
Weld Grinding	cutting/forming	Faster throughput.
Wheels ratio is	applications, Repair Shield	Abrasive
outside targeted	Gas leaks. Automate	consumption
range	surface preparation for	reduction
	weldments/eliminate oil,
	mill scale. Bevel plate
	correctly. Reduce
	consumption
Actual average	Increase wire feed speed.	Lower cost per part,
Melt Off Rate is	Put parts in position.	better penetration,
below target	Create Kan-Ban for parts.	higher travel speeds
Average Operator	Address material handling/	Higher productivity.
Factor is below	material flow throughout	Lower cost per part,
target	shop. Reduce secondary	Higher quality
	operations i.e., grinding,
	use of nozzle spray, and
	chipping/scraping spatter.
	Address parts fit up, create
	tighter tolerances

• • Communications may be by email, mail, fax, text, phone call, and/or a graphic user interface of a dedicated app or a website.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING

For a further understanding of the nature and objects for the present invention, reference should be made to the following detailed description, taken in conjunction with the accompanying drawings, in which like elements are given the same or analogous reference numbers and wherein:

FIG. 1 shows a schematic of the overall Process Improvement System;

FIG. 2 shows an embodiment of the Process Improvement System;

FIG. 3 shows an embodiment of the general method of use of the Process Improvement System corresponding to original claim 1;

FIG. 4 shows an embodiment of the method of use of the Process Improvement System corresponding to original claims 2 and 3;

FIG. 5 shows an embodiment of the method of use of the Process Improvement System corresponding to original claims 4-6;

FIG. 6 shows an embodiment of the method of use of the Process Improvement System corresponding to original claim 16;

FIG. 7 shows an embodiment of the method of use of the Process Improvement System corresponding to original claim 18;

FIG. 8 shows an embodiment of the method of use of the Process Improvement System corresponding to original claim 19.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

In several embodiments, the present invention produces an automatic process control feedback and/or process improvement recommendations. These feedback and recommendations are based on capturing consumable data, performing data analytics (detailed below) and establishing logical process improvement recommendations and actions based on consumables' consumption ratios and process inefficiency correlations.

Because the process deviations have a tendency to drift over time, continuous process analyzers, such as those described in U.S. Pat. No. 7,227,099B2, can be used to capture consumables data, but are not necessary. The consumables data can often be capture via an existing ERP procurement platform; or via other existing data systems, and therefore the system herein does not require the installation and related costs of specific process analyzers.

Process Improvement System Operation

Measuring the consumption of consumables and calculating ratios of each can 1) provide a relative indication of how efficient the corresponding process is, 2) provide indicators on where inefficiencies exist, and 3) identify likely sources of those inefficiencies. In general, in several embodiments of the invention, the process improvement system therefore performs the following steps:

• • a) Data acquisition of the rate and/or quantity of consumables use (“consumables data”);
  • b) Using the consumables data to calculate a set of ratios and other data relationship transformations (“performance parameters”);
  • c) Optionally, in preferred embodiments, comparing the calculated performance parameters to one or more predefined or predetermined standards, to ascertain the degree of deviation from the standard(s) (“benchmarking”);
  • d) Based on the calculated performance parameters, and optionally the benchmarking, executing one or both of:
    • A) an automatic process improvement (“feedback control”);
    • B) a notification of recommendation(s) to execute specific process improvement actions (“process recommendation(s)”);

In preferred embodiments, in cases where the system provides a process recommendation, the process owner (e.g. a welding shop) executes at least one such process recommendation, which thereby improves one or more performance parameter and results in increased efficiency in the process (“process correction”). A process correction can yield such efficiency outcomes as a reduced consumption of consumables (wire, shielding gas, etc.), an improved weld quality, an increased welding speed, an increased cutting speed, a reduced equipment down time, a reduced frequency of equipment malfunction events, or any other aspect of a process that influences productivity and/or cost.

Consumables

Industrial welding and cutting processes (generally referred to herein as “processes”), used in the fabrication of intermediate feedstock materials, parts/components and final products, require the consumption of various consumables during the welding or cutting process. For example, shielding gases, cutting gases, welding filler metal/wire, welding contact tips, cutting tips, wire nozzles, diffusors, welding gun liners, power, spatter grinders, and other consumables such as personal protective equipment or other safety equipment.

Process Improvement System Components

A “Process Improvement System” (10) is defined as including a consumables data acquisition component (20), a performance parameter calculation component (30), a process recommendation component (40) and a communication component (50). Optionally, in some embodiments, the Process Improvement System (10) further includes a feedback control component (60).

The consumables data acquisition component (20) may be a system containing data regarding the purchase of consumables, such as a computer managing a process owner's procurement or inventory management process(es) or an onsite consumables vending machine. Alternatively, the consumables data acquisition component (20) may be a process sensor measuring, intermittently or in near real time, the actual consumption rate of a consumable (e.g. wire use or gas use). The consumables data acquisition component (20) may acquire the consumables data in any way feasible. Exemplary data acquisitions include a) accessing a process owner's computer implemented inventory, supply and/or procurement systems, b) process owner's purchase orders or other purchasing requests that are stored in one or more suppliers' electronic records, c) manual data entry by a vendor service representative or a customer, and/or d) via sensor data (discussed below).

The performance parameter calculation component (30) is a specifically programmed computer, configured to transform the consumables data into performance parameters (as described below).

The process recommendation component (40) is a specifically programmed computer, configured to identify performance parameter(s) that indicate a need for a process correction and correlate the performance parameter(s) with potential cause(s) (as described below). In some embodiments, the correlation is based, at least in part, on a lookup table, indexing performance parameter(s) to possible causes and associated process recommendations for remedial process corrections.

In some embodiments, the performance parameter calculation component (30) and the process recommendation component (40) are the same computer.

The communication component (50) is operated by the process recommendation component (40) to transmit the process recommendation(s) to one or more recipients. For example, the communication component (50) may be an automated email generation system that transmits a process recommendation to a process owner by email (55).

Alternatively, the communication component (50) may generate webpage or graphic user interface, specifically configured to display one or more of the consumables data, performance parameter values, benchmarking values, degree of deviation between performance parameter values and benchmarking values, and process recommendation(s). The webpage or graphic user interface may be accessible via the internet.

Example Process Improvement System

As shown in FIG. 2, the Process Improvement System (11) includes the consumables data acquisition components (21-22) in the form of a) a website (21) through which a customer inputs or uploads a purchase request or order for consumables and b) a data repository (22) containing consumables data acquired though other channels along with historical consumables data. An exemplary data repository is SAP® BUSINESS WAREHOUSE. Consumables data from multiple consumables data acquisition components is formatted and standardized for data processing and sent via an integration component (25) to a data lake storage component (26) and then to an SQL DATABASE™ (27). Consumables data is then transferred to the process recommendation component (40) such as an SQL SERVER ANALYSIS SERVICES™. The process recommendation component (40) delivers process recommendation results to a communication component (50) such as POWER BI™ to produce a process recommendation report for a process owner. The process recommendation report may be a graphic display file in html sent by the communication component (50) to a process owner's computer. In this example, the process owner accesses the process recommendation report via the same website (21) also having one of the data acquisition components, such as a in a customer account portal.

Performance Parameters

The performance parameters are ratios or other data transformations, of at least two distinct consumables data, to derive a calculated performance parameter. Exemplary performance factors include:

• • A ratio or proportions of Purchased or Consumed Shielding Gas Components (e.g. Ar CO₂; He:Ar; He:Ar:CO₂)
  • A ratio of Purchased or Consumed Shielding Gas to Welding Wire
  • A ratio of Purchased or Consumed Welding Wire to Welding Contact Tips
  • A ratio of Purchased or Consumed Welding Wire to Welding Nozzles
  • A ratio of Purchased or Consumed Welding Wire to MIG Welding Guns
  • A ratio of Purchased or Consumed Welding Wire to Weld Gun Liners
  • A ratio of Purchased or Consumed Welding Wire to Weld Gas Diffusers
  • A ratio of Purchased or Consumed Welding Wire to Weld Grinding Wheels
  • A ratio of Purchased or Consumed Welding Wire to Weld Nozzle Shield Spray

Other operational data and information may be combined with performance factors for benchmarking, process recommendation(s), and/or feedback control. Exemplary operational data include:

• • Actual average Melt Off Rate (i.e. the weight or length of the electrode, wire, rod, or powder melted in a unit of time)
  • Average Operator Factor (i.e. the average percentage of the welders' work day that is actually spent welding for a specific welding or cutting process or location/operation)
  • Numbers of process operators (e.g. welders)
  • Number of automated equipment (e.g. robotic welding stations)
  • Amount of work hours performed by process operators such as welders (aggregated monthly total, weekly average, etc.)
    Benchmarking

Benchmarking utilizes the performance parameters and, optionally, additional operational data, to compare a specific process to an ideal or real world derived comparator data. For example, the comparator data may be the closest to optimal in a classification of processes (e.g. mild steel semi-automated welding) based on a collection of data derived from a number of measured processes in the classification. The comparator data may be a calculated or hypothetical ideal value. The comparator data may be historical process data for the same process (e.g. a weld shop's own best historical performance). The benchmarking may be implemented in a variety of ways. One form of benchmarking may be ranking a specific process in terms of “top 20%” or quartiles within a combined dataset of similarly classified processes. The ranking could be by for a specific performance parameter or a combination of performance parameters such as a weighted composite score.

Process Recommendation(s)

When a performance parameter deviates from the expected or a benchmarked performance parameter range defined as correlating with an acceptable performance efficiency, this deviation is likely tied to specific areas of poor or inefficient operation. The Process Improvement System calculates the performance parameters, identifies deleterious or suboptimal performance parameter values, and correlates one or more process parameter deviation(s) with possible causes.

The Process Improvement System can for example have a “look up” table, with Process Parameters correlated with Process Recommendations. Specific causal factors and more targeted process recommendation(s) are more readily identified using combinations of performance parameters. The Process Improvement System may, in some embodiments, include software for machine learning. In specific embodiments, the machine learning includes pattern recognition based machine learning programming that uses an initial benchmark data as the training set.

Process Correction and Automated Feedback Control

The Process Improvement System supplies one or more process recommendations to process owners for improving their process. Generally, a service provider (such as the one operating the Process Improvement System), or the process owner, implement at least one process recommendation(s) as a process correction(s), thereby improving the process owner's welding and/or cutting process.

Alternatively, certain process corrections may be implemented directly by computer implemented feedback control of one or more pieces of process equipment (e.g, a robotic welding station) to modify an operating parameter of the equipment per a process recommendation, thereby improving the process owner's welding and/or cutting process.

The process corrections are correlated with performance parameters and welding or cutting process efficiency improvement as stated by rows in the following table.

PER-	PROCESS	EFFICIENCY
FORMANCE	RECOMMENDATION &	IM-
PARAMETER	CORRECTION	PROVEMENT
Purchased or	For process owners using a	Reduced
Consumed	shielding gas supply system that	shielding
Shielding Gas to	feeds multiple welding or cutting	gas consumption.
Welding Wire	sites within an operation, check	Reduce weld
ratio is high.	for and fix gas leaks, surges and	discontinuities/
	overflow throughout the gas	defects.
	distribution system.
Purchased or	Measure and check for Electrical	Reduced Weld
Consumed	Resistance poor lead connections	Spatter, Reduce
Welding	or improper cable size, Develop	Weld
Wire to Welding	and run proper Weld Parameters,	Discontinuities,
Contact Tips	Look for Poor parts Fit Up and	and Reduce tip
ratio is outside	correct upstream cutting forming	consumption,
targeted range	process, Replace Wrong	Increase Arc ON
	GMAW consumables, Test and	Time, Reduce
	train Welders on proper	Grinding, and
	procedure Repair Shield Gas	Reduced Rework.
	leaks or mix Issue. Put proper
	PM program for Liner
	replacement
Purchased or	Check for Use of Correct Parts,	Reduced nozzle
Consumed	Use positioner to weld in	consumption,
Welding	position, eliminate Electrical	Increased cell
Wire to Welding	Resistance, Test and Train	productivity with
Nozzles ratio is	Welder on proper procedure.	higher deposition
outside targeted	Create 5-S program for work	rates, reduction in
range	cells	spatter, reduce
		need for grinding
Purchased or	Use Maintenance Program to	Reduce
Consumed	review gun daily for issues, Start	Consumption.
Welding Wire	5S program (parts in place), Use	Increased Arc-on
to MIG	Boom For feeder assembly to	time. Reduced
Welding Guns	keep gun from dragging on floor.	Rework.
ratio is outside	Replace consumables on a
targeted range	proper schedule, Check to see if
	correct amp gun is in place.
	Check gas flow for proper
	cooling and shielding
Purchased or	Replace Liner after every 500#	Consistent
Consumed	wire used per gun, Revise	feeding of wire.
Welding Wire	Maintenance Program to review	Increased
to Weld Gun	gun daily for issues, Use Boom	cell productivity.
Liners ratio is	For feeder assembly to keep gun	Fewer defects/
outside	from dragging on floor.	discontinuities.
targeted range		Eliminate wire
		feed issues
Purchased or	Use Correct Parts, Check for	Eliminate
Consumed	Electrical Resistance, and Train	electrical
Welding Wire	Welder on proper procedure.	resistance, save
to Weld Gas	Create 5-S program for work	time, reduction
Diffusers ratio	cells	in consumption
is outside
targeted range
Purchased or	Use correct Abrasive for	Save time on
Consumed	application, Eliminate Poor Fit-	secondary
Welding	Up. Repair up stream cutting/	process.
Wire to Weld	forming applications, Repair	Safer
Grinding Wheels	Shield Gas leaks. Automate	environment,
ratio is outside	surface preparation for	Faster
targeted range	weldments/eliminate oil, mill	throughput.
	scale. Bevel plate correctly.	Abrasive
	Reduce consumption	consumption
		reduction
Actual average	Increase wire feed speed. Put	Lower cost per
Melt Off Rate is	parts in position. Create Kan-	part, better
below target	Ban for parts.	penetration,
		higher
		travel speeds
Average	Address material handling/	Higher
Operator	material flow throughout shop.	productivity.
Factor is below	Reduce secondary operations	Lower cost
target	i.e., and grinding, use of nozzle	per part.
	spray, chipping/scraping spatter.	Higher quality
	Address parts fit up, create
	tighter tolerances

Process Sensors

In some embodiments, one or more process sensors are used to measure operational data, consumables rate of consumption, or both. These “senor data” provide additional information about the process to the Process Improvement System for use as a basis for, or in conjunction with, performance parameter(s).

An example of a common process sensor is a welding gas mass flow meter. Many other welding/cutting process sensors are established in the art. See, e.g., Kah, P., et al. “Robotic arc welding sensors and programming in industrial applications.” International Journal of Mechanical and Materials Engineering 10.1 (2015): 13.

While the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications, and variations will be apparent to those skilled in the art in light of the foregoing description. Accordingly, it is intended to embrace all such alternatives, modifications, and variations as fall within the spirit and broad scope of the appended claims. The present invention may suitably comprise, consist or consist essentially of the elements disclosed and may be practiced in the absence of an element not disclosed. Furthermore, if there is language referring to order, such as first and second, it should be understood in an exemplary sense and not in a limiting sense. For example, it can be recognized by those skilled in the art that certain steps can be combined into a single step.

The singular forms “a”, “an” and “the” include plural referents, unless the context clearly dictates otherwise.

“Comprising” in a claim is an open transitional term which means the subsequently identified claim elements are a nonexclusive listing (i.e., anything else may be additionally included and remain within the scope of “comprising”). “Comprising” as used herein may be replaced by the more limited transitional terms “consisting essentially of” and “consisting of” unless otherwise indicated herein.

“Providing” in a claim is defined to mean furnishing, supplying, making available, or preparing something. The step may be performed by any actor in the absence of express language in the claim to the contrary.

Optional or optionally means that the subsequently described event or circumstances may or may not occur. The description includes instances where the event or circumstance occurs and instances where it does not occur.

Ranges may be expressed herein as from about one particular value, and/or to about another particular value. When such a range is expressed, it is to be understood that another embodiment is from the one particular value and/or to the other particular value, along with all combinations within said range.

All references identified herein are each hereby incorporated by reference into this application in their entireties, as well as for the specific information for which each is cited.