Modeling and Optimization of Carbon Steel AISI 1045 Surface Roughness in CNC Turning Based on Response Surface Methodology and Heuristic Optimization Algorithms

Nagandran, Vijay

doi:10.11648/j.ajnna.20170306.11

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Selection and calculation of cutting parameters are necessary for planning machining product work. Selection of the appropriate combination of cutting parameters will produce geometric quality and surface roughness as expected (Bodzas & Krakko, 2017;Fahrizal et al, 2022;Katta, 2018;Kounta et al, 2022;Nagandran, 2017).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Ability to Develop CNC Machine Part Programs for Vocational High School Students in Indonesia

Kurniawan,

S. Wijanarka

2023

EJEDU

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The aims of this study are (1) to analyze the effect of the ability to read technical drawings on the ability to make CNC program parts; (2) to analyze the effect of geometry skills on the ability to make CNC program parts; (3) to analyze the effect of cutting parameter knowledge on the ability to make CNC program parts; and (4) analyze the effect of the ability to read technical drawings, geometry skills, and knowledge of cutting parameters simultaneously on the ability to make CNC program parts. This research is quantitative correlational research. The subjects of the study were 360 students of SMK class XII in the field of Mechanical Engineering in the city of Palembang, Indonesia, using a random sampling technique by Isaac and Michael equations so that a total sample of 187 students was obtained. The data collection method uses the test method. The data analysis used is a correlational statistical analysis between the three dependent variables and one independent variable. The results of the study: (1) The ability to read technical drawings has a positive and significant effect on the ability to make CNC programs by 11.17%; (2) Geometry ability has no significant effect on the ability to make CNC programs; (3) Knowledge of cutting parameters has a positive and significant effect on the ability to make CNC programs by 75.36%; and, (4) the ability to read technical drawings, geometry skills, and knowledge of cutting parameters have a positive and significant effect on the ability to make CNC programs by 89.9%.

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Section: Introductionmentioning

confidence: 99%

Analysis of the Ability to Develop CNC Machine Part Programs for Vocational High School Students in Indonesia

Kurniawan,

S. Wijanarka

2023

EJEDU

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“…In recent time, the Taguchi and RSM methods are widely used in industries and research works. Vijay et al [33] employed heuristic optimization methods Genetics Algorithm (GA), Particle Swarm Optimization (PSO) and Simulated Annealing (SA) to optimize mathematical model developed for surface roughness by RSM. They stated that PSO and GA performance was better than SA.…”

Section: Introductionmentioning

confidence: 99%

Parametric Optimization and Modeling for Flank Wear of Tisin-Tialn Nanolaminate Cutting Insert

Kaladhar¹

2020

JMechE

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Selection of machining parameters and better prediction for cutting tool flank wear is indispensable in hard machining as flank wear is directly influences the quality of machined surface. In the current study, parametric optimization and predictive model were carried out for the flank wear of TiSiN-TiAlN nanolaminate cutting insert in hard turning of 58 HRC AISI 1045 medium carbon steel which is an unexplored area. Taguchi’s method was employed for parametric optimization and predictive model was established for flank wear by response surface methodology (RSM) based regression analysis. Cutting speed = 40 m/min, feed rate = 0.3 mm/rev and depth of cut = 75µm generates optimum value of flank wear 0.07 mm. In conclusion, verification test was carried out to validate the optimal set of parameters and the result was shown a great reduction of 81.42% in the flank wear. The predictive model elaborated for flank wear was dependable and helps to make better prediction to the manufacturing industries within specified range of the experimentation.

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Modeling and Optimization of Carbon Steel AISI 1045 Surface Roughness in CNC Turning Based on Response Surface Methodology and Heuristic Optimization Algorithms

Cited by 2 publications

References 7 publications

Analysis of the Ability to Develop CNC Machine Part Programs for Vocational High School Students in Indonesia

Analysis of the Ability to Develop CNC Machine Part Programs for Vocational High School Students in Indonesia

Parametric Optimization and Modeling for Flank Wear of Tisin-Tialn Nanolaminate Cutting Insert

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