Multi-objective optimization of laser welding process parameters: The trade-offs between energy consumption and welding quality

Li, Yufeng; Xiong, Min; He, Yan; Xiong, Junhui; Tian, Xiaocheng; Mativenga, Paul

doi:10.1016/j.optlastec.2022.107861

Cited by 39 publications

(16 citation statements)

References 33 publications

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“…In order to save energy and reduce emissions in the production process, some multiobjective optimization methods and algorithms have been reported at home and abroad. [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. However, these studies are only static calculations of different types of production equipment, reporting qualitative analyses of multiple types of equipment.…”

Section: Comparison Of Different Equipment: Optimization Resultsmentioning

confidence: 99%

“…Zhan et al [21] established a multi-objective optimization model, and proposed an improved non dominated sorting gravity search algorithm to solve the multi-objective model. Li et al [22] constructed a laser-welding energy-consumption and welding-quality mode and tested it. Tian et al [23] established a multi-objective cutting parameter optimization model and tested it using modified NSGA-II algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept

et al. 2022

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Energy consumption and carbon emission levels in the production process constitute an important basis for the selection of production equipment. The energy consumption and carbon emission levels of the same product produced by different kinds equipment vary greatly from one tool to another. Unfortunately, traditional modes of selection only give qualitative results, so that it is difficult to provide a quantitative reference to enable enterprises to choose appropriate modes of production in the context of the green development concept (GDC). In order to solve this problem, a calculation method for multiple energy consumption and carbon-emission objectives for commodity production is proposed. The focus of this paper is to research the difference between the energy consumption and carbon emission levels of the same product produced by different kinds of equipment. The energy consumption and carbon emissions of different kinds of equipment can be calculated by gray wolf algorithm. The results show that the proposed method can calculate the optimal values of energy consumption and carbon emissions in the same kinds of products produced by different equipment, which can provide assistance for enterprises in choosing the production equipment that best conforms to the green development concept.

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Section: Comparison Of Different Equipment: Optimization Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept

et al. 2022

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“…[ 11 ] Especially, the feature of overlap between layers and passes directly determines filling quality and defects in the groove, whereas both of them are directly affected by welding parameters. [ 12,13 ] During filling welding, morphological errors in a single pass are accumulated with overlapping multi‐layer multi‐pass welding. The fixed offset method in traditional robotic welding may lead to deviations in the overlap ratio of bead and height among layers, resulting in unpredictable defects.…”

Section: Introductionmentioning

confidence: 99%

Forming Control Method of Single‐Layer Multi‐Pass Welding in the Intersection for T/K/Y Joints of Jacket

Huang

Hong

et al. 2023

steel research int.

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“…4,5 In particular, laser welding is becoming an attractive and economically advantageous joining technique in the automotive industry due to much superiority over conventional welding techniques, such as non-contact and single-side access welding, low process cost, and the suitability of automation. [6][7][8][9][10] The LTW uses a laser beam to connect the surfaces of two materials having different optical characteristics. The thermal energy provided by the laser beam melts the materials at the interface and joins with each other due to heat diffusion.…”

Section: Introductionmentioning

confidence: 99%

Multi-response optimization for laser transmission welding of PMMA to ABS using Taguchi-based TOPSIS method

Kucukoglu,

Yuce,

Sozer

et al. 2023

Advances in Mechanical Engineering

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Recently, the usage of laser transmission welding (LTW) technology in the automotive industry has been rising for joining thermoplastic parts regarding its superior properties in comparison to other welding technologies. However, specifying the process parameters is a crucial step to obtain satisfactory welding quality for the vehicle parts. In this context, this paper addresses the LTW process of Polimetil metakrilat (PMMA) to Akrilonitril bütadien stiren (ABS) materials for the production of taillights in an automotive company and proposes a new multi-response Taguchi-Based TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to optimize machining parameters in the laser welding process. In the proposed solution methodology, the main effects of the parameters on different outputs are identified by using the [Formula: see text] orthogonal array of the Taguchi method. Regarding the best parameter set for each output, the best parameter set for multi-response is identified by using the TOPSIS method, in which alternatives are evaluated through the interrelated quality measures. To optimize welding process in taillight production, PMMA and ABS samples with the dimensions of [Formula: see text] in width, [Formula: see text] in length, and [Formula: see text] in thickness are used in the experiments. The samples are welded by using LPKF Twinweld 3D 6000® laser welding machine. For the welding process, laser power, welding speed, and pressure force are taken into account as the input parameters to optimize three responses: weld strength, breaking strain, and weld width. To identify the best process parameter values, the Taguchi Method is initially employed to calculate the main effects of LTW parameters for each output. Then, the TOPSIS method is carried out to evaluate a number of alternative parameter sets generated through the Taguchi results. As a consequence of the TOPSIS ranking scores, the best parameter set that jointly optimizes three outputs of the LTW process is identified for the taillight production as [Formula: see text] power, [Formula: see text] speed, and [Formula: see text] pressure force. Based on the conducted experiments, this parameter setting achieves the highest weld strength, breaking strain level, and above-average weld width. The results of the experiments show that the proposed methodology is capable of optimizing LTW parameters for a multi-response with fewer experiments in the joining of plastic vehicle parts.

show abstract

Multi-objective optimization of laser welding process parameters: The trade-offs between energy consumption and welding quality

Cited by 39 publications

References 33 publications

Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept

Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept

Forming Control Method of Single‐Layer Multi‐Pass Welding in the Intersection for T/K/Y Joints of Jacket

Multi-response optimization for laser transmission welding of PMMA to ABS using Taguchi-based TOPSIS method

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