Assessment and optimization of grinding process on AISI 1045 steel in terms of green manufacturing using orthogonal experimental design and grey relational analysis

2020 ◽  
Vol 253 ◽  
pp. 119896 ◽  
Author(s):  
Zixuan Wang ◽  
Tianqi Zhang ◽  
Tianbiao Yu ◽  
Ji Zhao
Keyword(s):  
Experimental Design ◽  
Grey Relational Analysis ◽  
Green Manufacturing ◽  
Orthogonal Experimental Design ◽  
Grinding Process ◽  
Relational Analysis ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
Grey Relational ◽  
1045 Steel

scholarly journals Multiobjective Optimization of ELID Grinding Process Using Grey Relational Analysis Coupled with Principal Component Analysis

2014 ◽  
Vol 6 ◽  
pp. 878510 ◽  
Author(s):  
S. Prabhu ◽  
B. K. Vinayagam
Keyword(s):  
Principal Component Analysis ◽  
Multiobjective Optimization ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Principal Component ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Elid Grinding ◽  
Relational Analysis ◽  
Grey Relational

Carbon nanotube (CNT) mixed grinding wheel has been used in the electrolytic in-process dressing (ELID) grinding process to analyze the surface characteristics of AISI D2 Tool steel material. CNT grinding wheel is having an excellent thermal conductivity and good mechanical property which is used to improve the surface finish of the work piece. The multiobjective optimization of grey relational analysis coupled with principal component analysis has been used to optimize the process parameters of ELID grinding process. Based on the Taguchi design of experiments, an L9 orthogonal array table was chosen for the experiments. The confirmation experiment verifies the proposed that grey-based Taguchi method has the ability to find out the optimal process parameters with multiple quality characteristics of surface roughness and metal removal rate. Analysis of variance (ANOVA) has been used to verify and validate the model. Empirical model for the prediction of output parameters has been developed using regression analysis and the results were compared for with and without using CNT grinding wheel in ELID grinding process.

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

Coatings ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 356 ◽  
Author(s):  
Guofu Lian ◽  
Hao Zhang ◽  
Yang Zhang ◽  
Martin L. Tanaka ◽  
Changrong Chen ◽  
...  
Keyword(s):  
Laser Cladding ◽  
Grey Relational Analysis ◽  
Laser Power ◽  
Processing Parameters ◽  
Industrial Applications ◽  
Orthogonal Experimental Design ◽  
Relational Analysis ◽  
Validation Experiment ◽  
Grey Relational ◽  
Overlap Rate

Multi-track laser cladding is the primary technology used in industrial applications for surface reinforcement and remanufacturing of broken parts. In this study, the influence of processing parameters on multi-track laser cladding was investigated using a Taguchi orthogonal experimental design. A multi-response grey relational analysis (GRA) was employed to identify laser cladding processing parameters that simultaneously optimize the flatness ratio of the coating and the cladding efficiency. The optimal parameters setting found by GRA were validated experimentally. Results showed that the flatness ratio and cladding efficiency were closely correlated to the overlap rate and laser power, where the overlap rate shows the most significant impact on the flatness ratio and the laser power shows the most significant impact on cladding efficiency. Results from the validation experiment were within one percent (0.97% error) of the predicted value. This demonstrates the benefits of utilizing GRA in laser cladding process optimization. The methods presented in this paper can be used to identify ideal processing parameters for multi-response multi-track laser cladding processes or other industrial applications.

scholarly journals An Integrated Method for Multi-Objective Optimization of Multi-Pass Fe50/TiC Laser Cladding on AISI 1045 Steel based on Grey Relational Analysis and Principal Component Analysis

Coatings ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 151 ◽  
Author(s):  
Qianting Wang ◽  
Xianbin Zeng ◽  
Changrong Chen ◽  
Guofu Lian ◽  
Xu Huang
Keyword(s):  
Principal Component Analysis ◽  
Laser Cladding ◽  
Grey Relational Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Relational Analysis ◽  
Aisi 1045 ◽  
Grey Relational

As an essentially multi-input multi-output process, determination of optimal conditions for laser cladding normally requires multi-objective optimization. To understand multi-response coupling, the effects of processing parameters on the morphology quality of multi-pass laser claddings of Fe50/TiC on medium carbon steel AISI 1045 were investigated based on composite central design using response surface methodology. Multiple responses, including clad width, flatness, and non-fusion area, were transformed into a single objective through grey relational analysis, with weights objectively identified by principal component analysis. The correlation between grey relational grade (GRG) and process parameters was established by regression analysis. The results show that the GRG response model has excellent goodness of fit and predictive performance. A validation experiment was conducted at the process condition optimized for maximum GRG. The relative error of the predicted optimal GRG is 4.87% whereas those of interested individual objectives, i.e. clad width, flatness, and non-fusion area, are 5.73%, 2.97%, and 6.73%, respectively, which verifies the accuracy of the established model. The investigation of mechanical properties suggests the hardness of substrate can be improved from 20 HRC to 60 HRC and wear resistance to over 8.14 times better.

scholarly journals Experimental Design and Data collection of a finishing end milling operation of AISI 1045 steel

Data in Brief ◽  
2016 ◽  
Vol 6 ◽  
pp. 609-613 ◽  
Author(s):  
Luiz Gustavo Dias Lopes ◽  
Tarcísio Gonçalves de Brito ◽  
Anderson Paulo de Paiva ◽  
Rogério Santana Peruchi ◽  
Pedro Paulo Balestrassi
Keyword(s):  
Experimental Design ◽  
Data Collection ◽  
End Milling ◽  
Milling Operation ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel
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