Optimizing Processing Parameters for Multi-Track Laser Cladding Utilizing Multi-Response Grey Relational Analysis

Lian, Guofu; Zhang, Hao; Zhang, Yang; Tanaka, Martín; Chen, Changrong; Jiang, Jibin

doi:10.3390/coatings9060356

Cited by 32 publications

(21 citation statements)

References 29 publications

(36 reference statements)

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“…Sheshadri et al [ 17 ] conducted the Taguchi experiment determine optimal levels resulting in better surface quality and microhardness. Lian et al [ 18 ] used Taguchi-Grey relational analysis to design experiments in order to optimize deposition rate and product surface flatness of single-layer multi-track DED products. The obtained optimal factor setting can simultaneously improve the two qualities.…”

Section: Introductionmentioning

confidence: 99%

“…However, it was rarely mentioned that how to adjust factor setting when multiple qualities of a DED product conflict with each other. Although Lian et al [ 18 ] used Taguchi-Grey relational analysis to design and conduct multi-objective optimization research, their optimization targets only chose deposition rate and surface roughness. Cladding efficiency and porosity, which are closely related to the cost of powder materials and the mechanical strength of the products, are also extremely important qualities and need to be optimized.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective optimization of directed energy deposition process by using Taguchi-Grey relational analysis

Chang

Qiu

Hwang

2022

Int J Adv Manuf Technol

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In this study, a multi-objective optimization of directed energy deposition (DED) process was conducted with Taguchi-Grey relational analysis. The used part was designed as a flat rectangle which would be deposited by a single-layer and multi-track DED process. Firstly, after finishing Taguchi experiments, the effects of five control factors (laser power, overlap ratio, powder feed rate, scanning speed and laser defocus distance) on three DED product qualities (cladding efficiency, surface roughness and porosity) were, respectively, analyzed. Then, through Grey relational analysis (GRA), an optimal factor setting which can take all qualities into account was found and had better deposition results compared with previous setting. Furthermore, ANOVAs were conducted to find out significant factors of each qualities. By using the significant factors as variations, three second-order polynomial regression predictive models for qualities were created. Based on the GRA and ANOVAs results, additional one-factor-at-a-time (OFAT) experiments which used the optimal setting as the center point were performed. The qualities variation resulting from adjusting overlap ratio and laser defocus distance of optimal setting were investigated, and the results were also used as additional data to verified the accuracies of three regression models.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of directed energy deposition process by using Taguchi-Grey relational analysis

Chang

Qiu

Hwang

2022

Int J Adv Manuf Technol

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“…Yao et al 29 applied GRA with fuzzy logic to determine the optimal design parameters of beam-like structures. Lian et al 30 determined the satisfactory laser cladding processing parameters by utilizing multi-response GRA. Xiong et al 31 obtained the best combination of the structural parameters of foam-filled columns under multiple impact loading by using GRA with Taguchi methods.…”

Section: Introductionmentioning

confidence: 99%

Collaborative optimization design of lightweight and crashworthiness of the front-end structures of automobile body using HW–GRA for Pareto mining

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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To collaboratively improve the lightweight and frontal collision safety performance of the automobile body, the material–structure–performance integrated multi-objective optimization design of the front-end structure was implemented in this study. The hybrid weight–grey relational analysis (HW–GRA) method was proposed to address the problem that the Pareto optimal compromise solution of multi-objective optimization cannot be easily selected. The design variables of the material and structural parameters were recorded through material type coding and model parameterization. To satisfy the basic static–dynamic performance constraints of the body, the RSM–Kriging surrogate model, design of experiments, and multi-objective particle swarm optimization algorithm were used to optimize the material and structural parameters to improve the lightweight and crashworthiness of the body. The Pareto optimal compromise solution was determined using the HW–GRA method. The decision result of the proposed method was more robust and rational than those of single weighting techniques combined with GRA and hybrid weighting approach combined with TOPSIS. After the multi-objective optimization and decision-making, the basic static–dynamic performance of the body demonstrated a change of less than 2.0%, which satisfied the constraint requirements. The mass of the body was reduced by 2.4 kg, and the frontal collision safety performance of the body was significantly improved.

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“…For the study of wear of the jaw crusher and other mining crushers after laser cladding, the existing research methods are mainly theoretical calculation, test, and other methods [8][9][10]. Karan et al analyzed the main wear area of the acceleration plate of the vertical impact crusher, changed the structural parameters and production parameters of the rotor, respectively, and explored the wear characteristics of the acceleration plate [11].…”

Section: Introductionmentioning

confidence: 99%

Finite Element Study on the Wear Performance of Movable Jaw Plates of Jaw Crushers after a Symmetrical Laser Cladding Path

Chen

Zhang

et al. 2020

Symmetry

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At present, research on the influence of friction heat on the wear resistance of laser cladding layers is still lacking, and there is even less research on the temperature of laser cladding layers under different loads by a finite element program generator (FEPG). After a symmetrical laser cladding path, the wear performance of the moving jaw will change. The study of the temperature change of the moving jaw material in friction provides a theoretical basis for the surface modification of the moving jaw. The model of the column ring is built in a finite element program generator (FEPG). When the inner part of the column is WDB620 (material inside the cylinder) and the outer part is ceramic powder (moving jaw surface material), the relationship between the temperature and time of the contact surface is analyzed under the load between 100 and 600 N. At the same time, the stable temperature, wear amount, effective hardening layer thickness, strain thickness, and iron oxide content corresponding to different loads in a finite element program generator (FEPG) were analyzed. The results showed that when the load is 300 N, the temperature error between the finite element program generator (FEPG) and the movable jaw material is the largest, and the relative error is 4.3%. When the load increases, the stable temperature of the moving jaw plate increases after the symmetrical laser cladding path, and the wear amount first decreases and then increases. The minimum wear amount appears at a load of 400 N and a temperature of 340 °C; the strain thickness of the sample material increases gradually, and the effective hardening layer thickness increases. However, when the load reaches 400 N, the thickness of the effective hardening layer changes little; the content of Fe decreases gradually, and the content of FeO and Fe2O3 increases. The increase of the moving jaw increases in turn the temperature of the laser cladding layer of the test jaw material, which intensifies the oxidation reaction of the ceramic powder of the laser cladding layer.

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Optimizing Processing Parameters for Multi-Track Laser Cladding Utilizing Multi-Response Grey Relational Analysis

Cited by 32 publications

References 29 publications

Multi-objective optimization of directed energy deposition process by using Taguchi-Grey relational analysis

Multi-objective optimization of directed energy deposition process by using Taguchi-Grey relational analysis

Collaborative optimization design of lightweight and crashworthiness of the front-end structures of automobile body using HW–GRA for Pareto mining

Finite Element Study on the Wear Performance of Movable Jaw Plates of Jaw Crushers after a Symmetrical Laser Cladding Path

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