Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems
Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The quality of the welding process is more reliable by automating the process with robots. In this research work, the GMAW operation is automated with the ‘Fanuc...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2021-01-01
|
| Series: | Materials Research Express |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2053-1591/ac432a |
| _version_ | 1797746654701420544 |
|---|---|
| author | P Devendran P Ashoka Varthanan |
| author_facet | P Devendran P Ashoka Varthanan |
| author_sort | P Devendran |
| collection | DOAJ |
| description | Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The quality of the welding process is more reliable by automating the process with robots. In this research work, the GMAW operation is automated with the ‘Fanuc Robot Arc mate 100iC/12’ robot. The material characteristics such as ultimate tensile strength, hardness, and impact strength of weldments are predicted using a fuzzy system using triangular membership function (TrMF) and trapezoidal membership function (TMF). The simulated results are validated by comparing with experimental work, the experiments are designed using orthogonal array L18, and material characteristics are studied using fractography test. The fuzzy system is trained with experimental results using the IF-Then rule base with the help of the L18 orthogonal array. The inference system has predicted the accuracy rate of weldment mechanical properties, showing a lower error rate. |
| first_indexed | 2024-03-12T15:39:56Z |
| format | Article |
| id | doaj.art-271a784dcdc24fca89684c876ad8f000 |
| institution | Directory Open Access Journal |
| issn | 2053-1591 |
| language | English |
| last_indexed | 2024-03-12T15:39:56Z |
| publishDate | 2021-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Materials Research Express |
| spelling | doaj.art-271a784dcdc24fca89684c876ad8f0002023-08-09T16:00:03ZengIOP PublishingMaterials Research Express2053-15912021-01-0181212652410.1088/2053-1591/ac432aPrediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systemsP Devendran0https://orcid.org/0000-0003-1997-9637P Ashoka Varthanan1Assistant Professor, SNS College of Technology, Coimbatore, IndiaProfessor, Sri Krishna College of Engineering and Technology, Coimbatore, IndiaWelding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The quality of the welding process is more reliable by automating the process with robots. In this research work, the GMAW operation is automated with the ‘Fanuc Robot Arc mate 100iC/12’ robot. The material characteristics such as ultimate tensile strength, hardness, and impact strength of weldments are predicted using a fuzzy system using triangular membership function (TrMF) and trapezoidal membership function (TMF). The simulated results are validated by comparing with experimental work, the experiments are designed using orthogonal array L18, and material characteristics are studied using fractography test. The fuzzy system is trained with experimental results using the IF-Then rule base with the help of the L18 orthogonal array. The inference system has predicted the accuracy rate of weldment mechanical properties, showing a lower error rate.https://doi.org/10.1088/2053-1591/ac432afuzzy logic systemsGMAWTrapezoidal membership functiontriangular membership functionweldment mechanical propertiesRobot-assisted welding |
| spellingShingle | P Devendran P Ashoka Varthanan Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems Materials Research Express fuzzy logic systems GMAW Trapezoidal membership function triangular membership function weldment mechanical properties Robot-assisted welding |
| title | Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems |
| title_full | Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems |
| title_fullStr | Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems |
| title_full_unstemmed | Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems |
| title_short | Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems |
| title_sort | prediction of weldment mechanical properties in gmaw with robot assisted using fuzzy logic systems |
| topic | fuzzy logic systems GMAW Trapezoidal membership function triangular membership function weldment mechanical properties Robot-assisted welding |
| url | https://doi.org/10.1088/2053-1591/ac432a |
| work_keys_str_mv | AT pdevendran predictionofweldmentmechanicalpropertiesingmawwithrobotassistedusingfuzzylogicsystems AT pashokavarthanan predictionofweldmentmechanicalpropertiesingmawwithrobotassistedusingfuzzylogicsystems |