Sensitivity analysis of the MIG welding process parameters based on response surface method

Welding induced distortion causes dimensional inaccuracies in parts being produced and assembly fit-up problems during manufacturing. In this study, a framework is proposed to mitigate weld distortion at the design stage. A sequential approach is adopted to optimize the welding process. In the first phase, welding process parameters are optimized through the response surface method. The effect of these parameters on the overall distortion of the welded part is observed by a simulation of the welding process. In the second phase, the weld sequence is optimized using the optimum weld parameters. A reinforcement learning-based Q-learning technique is used to select the optimum welding path by sequential observation of weld distortion at each segment being welded. The optimum process parameters and weld path sequence have been selected for 3 mm steel plates having a lap joint configuration and a 2 mm vent panel with a butt joint configuration. It is concluded that the combination of the optimum welding parameters and welding sequence yields minimum distortion. By applying this framework, a reduction of 19% is observed in overall welding induced distortion.

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Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2018.3342 ◽

2018 ◽

Vol 6 (3) ◽

pp. 2167-2175

Author(s):

Mr. B. S. Gawai

Keyword(s):

Response Surface ◽

Response Surface Method ◽

Process Parameters ◽

Resistance Spot Welding ◽

Spot Welding ◽

Welding Process ◽

Resistance Spot ◽

Surface Method ◽

Optimization Of Process Parameters

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Optimizing Laser Powder Bed Fusion Parameters for IN-738LC by Response Surface Method

Materials ◽

10.3390/ma13214879 ◽

2020 ◽

Vol 13 (21) ◽

pp. 4879

Author(s):

Mireia Vilanova ◽

Rubén Escribano-García ◽

Teresa Guraya ◽

Maria San Sebastian

Keyword(s):

Response Surface ◽

Response Surface Method ◽

Process Parameters ◽

Crack Density ◽

Processing Parameters ◽

Optimum Process ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Surface Method

A method to find the optimum process parameters for manufacturing nickel-based superalloy Inconel 738LC by laser powder bed fusion (LPBF) technology is presented. This material is known to form cracks during its processing by LPBF technology; thus, process parameters have to be optimized to get a high quality product. In this work, the objective of the optimization was to obtain samples with fewer pores and cracks. A design of experiments (DoE) technique was implemented to define the reduced set of samples. Each sample was manufactured by LPBF with a specific combination of laser power, laser scan speed, hatch distance and scan strategy parameters. Using the porosity and crack density results obtained from the DoE samples, quadratic models were fitted, which allowed identifying the optimal working point by applying the response surface method (RSM). Finally, five samples with the predicted optimal processing parameters were fabricated. The examination of these samples showed that it was possible to manufacture IN738LC samples free of cracks and with a porosity percentage below 0.1%. Therefore, it was demonstrated that RSM is suitable for obtaining optimum process parameters for IN738LC alloy manufacturing by LPBF technology.

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Preparation of chitosan nanospheres and optimization of process parameters by response surface method

Polymer Engineering & Science ◽

10.1002/pen.25844 ◽

2021 ◽

Author(s):

Yaqi Yang ◽

Na Yang ◽

Chaolun Zheng ◽

Ziqiang Shao

Keyword(s):

Response Surface ◽

Response Surface Method ◽

Process Parameters ◽

Surface Method ◽

Optimization Of Process Parameters

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Sensitivity Analysis of Reliability of Low-Mobility Parallel Mechanisms Based on a Response Surface Method

Applied Sciences ◽

10.3390/app11199002 ◽

2021 ◽

Vol 11 (19) ◽

pp. 9002

Author(s):

Qiang Yang ◽

Hongkun Ma ◽

Jiaocheng Ma ◽

Zhili Sun ◽

Cuiling Li

Keyword(s):

Sensitivity Analysis ◽

Response Surface ◽

Response Surface Method ◽

Inverse Kinematics ◽

Parallel Mechanism ◽

Error Component ◽

Parallel Mechanisms ◽

Kinematic Accuracy ◽

Surface Method ◽

Input Error

Kinematic accuracy is a crucial indicator for evaluating the performance of mechanisms. Low-mobility parallel mechanisms are examples of parallel robots that have been successfully employed in many industrial fields. Previous studies analyzing the kinematic accuracy analysis of parallel mechanisms typically ignore the randomness of each component of input error, leading to imprecise conclusions. In this paper, we use homogeneous transforms to develop the inverse kinematics models of an improved Delta parallel mechanism. Based on the inverse kinematics and the first-order Taylor approximation, a model is presented considering errors from the kinematic parameters describing the mechanism’s geometry, clearance errors associated with revolute joints and driving errors associated with actuators. The response surface method is employed to build an explicit limit state function for describing position errors of the end-effector in the combined direction. As a result, a mathematical model of kinematic reliability of the improved Delta mechanism is derived considering the randomness of every input error component. And then, reliability sensitivity of the improved Delta parallel mechanism is analyzed, and the influences of the randomness of each input error component on the kinematic reliability of the mechanism are quantitatively calculated. The kinematic reliability and proposed sensitivity analysis provide a theoretical reference for the synthesis and optimum design of parallel mechanisms for kinematic accuracy.

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