Development and performance analysis of semi-automatic movement setup for planar welding

被引:4
作者
Kumar, Vinod [1 ]
Bera, Tarun K. [1 ]
Bhattacharya, Anirban [2 ]
机构
[1] Thapar Inst Engn & Technol, Mech Engn Dept, Patiala, Punjab, India
[2] Indian Inst Technol Patna, Dept Mech Engn, Patna, Bihar, India
关键词
Automatic; bond graph; GMAW; planar; welding; penetration; path; SEM; SEAM TRACKING; PREDICTION;
D O I
10.1080/10426914.2019.1643470
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this work, a bi-directional automatic movement unit for planar welding is indigenously developed in order to obtain weld with uniform bead width along a desired path. System modeling of the fabricated setup was carried out using bond graph to predict different system behaviors as well as predict the weld bead geometric path. The effectiveness of the automatic planar movement setup was validated depositing weld bead at different speeds on low carbon steel workpiece. Weld beads were deposited at equal and unequal speeds of each axis with independent movement as well as simultaneous movement of the axes. The bead width variations, geometric path are measured and validated along with the microstructural observations of the weld bead cross-sections. The setup was found to deposit weld beads successfully following the intended weld path and perform planar welding closely resembling with the predicted weld path.
引用
收藏
页码:1251 / 1261
页数:11
相关论文
共 12 条
[1]   An optical sensing system for seam tracking and weld pool control in gas metal arc welding of steel pipe [J].
Bae, KY ;
Lee, TH ;
Ahn, KC .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2002, 120 (1-3) :458-465
[2]   Influence of Heat Input in Automatic GMAW: Penetration Prediction and Microstructural Observation [J].
Bhattacharya, Anirban ;
Bera, Tarun Kumar ;
Suri, Vinod Kumar .
MATERIALS AND MANUFACTURING PROCESSES, 2014, 29 (10) :1210-1218
[3]   Development of Automatic GMAW Setup for Process Improvements: Experimental and Modeling Approach [J].
Bhattacharya, Anirban ;
Bera, Tarun Kumar .
MATERIALS AND MANUFACTURING PROCESSES, 2014, 29 (08) :988-995
[4]   Towards an automated robotic arc-welding-based additive manufacturing system from CAD to finished part [J].
Ding, Donghong ;
Shen, Chen ;
Pan, Zengxi ;
Cuiuri, Dominic ;
Li, Huijun ;
Larkin, Nathan ;
van Duin, Stephen .
COMPUTER-AIDED DESIGN, 2016, 73 :66-75
[5]   A tool-path generation strategy for wire and arc additive manufacturing [J].
Ding, Donghong ;
Pan, Zengxi ;
Cuiuri, Dominic ;
Li, Huijun .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 73 (1-4) :173-183
[6]   A study on prediction of bead height in robotic arc welding using a neural network [J].
Kim, IS ;
Son, JS ;
Park, CE ;
Lee, CW ;
Prasad, YKDV .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2002, 130 :229-234
[7]   Sensitivity analysis for process parameters in GMA welding processes using a factorial design method [J].
Kim, IS ;
Son, KJ ;
Yang, YS ;
Yaragada, PKDV .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2003, 43 (08) :763-769
[8]  
Micallef K., 2011, Robotic Welding, Intelligence and Automation, V88, P23, DOI [10.1007/978-3-642-19959-23, DOI 10.1007/978-3-642-19959-2_3]
[9]   Infrared sensing techniques for penetration depth control of the submerged arc welding process [J].
Wikle, HC ;
Kottilingam, S ;
Zee, RH ;
Chin, BA .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2001, 113 (1-3) :228-233
[10]   Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis [J].
Xiong, Jun ;
Zhang, Guangjun ;
Hu, Jianwen ;
Wu, Lin .
JOURNAL OF INTELLIGENT MANUFACTURING, 2014, 25 (01) :157-163