Exploring the Influence of Machining Parameters on Geometric Form and Orientation Controls (23 Design)

Year : 2025 | Volume : 16 | Issue : 01 | Page : 10 16
    By

    Nirav Vora,

  • Gurmitsingh Bassan,

  1. Professor, Department of Mechanical Engineering, Dharmsinh Desai University, Gujarat, India
  2. Professor, Department of Mechanical Engineering, Dharmsinh Desai University, Guajrat, India

Abstract

This work explores the influence of machining parameters using on geometric form controls flatness and straightness as well as orientation control parallelism using an aluminum 6061 workpiece. Due to its good strength, machinability and cost- effectiveness, aluminum 6061 is widely used. In this experimental work, full factorial design is used and each factor has two levels. The response parameters chosen include flatness, straightness, and parallelism, which govern the form and orientation control of geometric dimensioning and tolerancing (GD&T). Different values of machining parameters spindle speed, feed and depth of cut take as per the design matrix of the 23 full factorial design. To find out the relative significance of the input factors, an analysis of variance (ANOVA) was conducted. Influence of individual effect and interaction effect of machining parameters on response flatness, straightness, and parallelism was studied. Mathematical modeling can assist in selecting optimal process parameters. Flatness, straightness, and parallelism were measured using a coordinate measuring machine. The model’s predicted and the experimental values were seen to agree very well. This research examines how the shape of the geometry and orientation control of produced components are affected by machining factors, including cutting speed, feed rate, depth of cut, tool substance, and machine stiffness. The study looks at how these characteristics affect properties like surface quality, dimensional accuracy, and geometric deviations in the finished product by methodically changing them. This work strives to determine the ideal machining settings for reducing form errors and guaranteeing constant component orientation using both experimental and analytical methods. Particularly for intricate, precision-critical applications, the results offer significant insights for the design and optimization of machining processes, promising improved production quality and efficiency.

Keywords: Speed, feed, depth of cut, flatness, straightness, parallelism, analysis of variance

[This article belongs to Journal of Experimental & Applied Mechanics ]

How to cite this article:
Nirav Vora, Gurmitsingh Bassan. Exploring the Influence of Machining Parameters on Geometric Form and Orientation Controls (23 Design). Journal of Experimental & Applied Mechanics. 2025; 16(01):10-16.
How to cite this URL:
Nirav Vora, Gurmitsingh Bassan. Exploring the Influence of Machining Parameters on Geometric Form and Orientation Controls (23 Design). Journal of Experimental & Applied Mechanics. 2025; 16(01):10-16. Available from: https://journals.stmjournals.com/joeam/article=2025/view=207924


References

  1. Drake P Dimensioning and Tolerancing Handbook. New York, NY, USA: McGraw-Hill; 2009.
  2. Montgomery D Design and Analysis of Experiments. 7th edition. Hoboken, NJ, USA: John Wiley & Sons; 2009.
  3. Frechette SP, Jones AT, Fischer BR. Strategy for testing conformance to geometric dimensioning & tolerancing standards. Procedia CIRP. 2013; 10: 211–215.
  4. Joshi A, Kothiyal P. Investigating effect of machining parameters of CNC milling on surface finish by Taguchi method. Int J Theoret Appl Res Mech Eng. 2012; 1 (2): 60–65.
  5. Bajic D, Lela B, Zivkovic Modeling of machined surface roughness and optimization of cutting parameters in face milling, Metalurgija. 2008; 47 (4): 331–334.
  6. Lela B, Bajic D, Jozic Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling. Int J Adv Manuf Technol. 2009; 42: 1082–1088.
  7. Patel PJ, Sheth S. Effect of various parameters on material removal rate in flashing operation of precision steel ball manufacturing process. In: 1st International and 16th National Conference on Machines and Mechanisms (iNaCoMM2013), Roorkee, India, December 18–20, 2013. 332–338.
  8. Patel PJ, Sheth S, Chauhan P. Effect of various parameters on spread in flashing operation of precision steel ball manufacturing process. Procedia Mater Sci. 2014; 5: 2224–2232.
  9. Schmitz TL, Ziegert JC, Canning S, Zapata Case study: a comparison of error sources in high-speed milling. Precision Eng. 2008; 32: 126–133.
  10. Kim WK, Hong TK, Geun MR, Geon H Study on high-speed cutting characteristics using design of experiments. Int J Precision Eng Manuf. 2013; 14 (10): 1869–1872.
  11. Elmesbahi A, Rechia A, Jaider O. Optimized – automated choice of cutting tool machining manufacturing features in milling process. In: 11th World Congress on Computational Mechanics (WCCM XI), Barcelona, Spain July 20–25, 2014. 1–15.
  12. Moroni G, Petro S. Inspection strategies and multiple geometric tolerances. Procedia CIRP. 2013; 10: 54–60.
  13. Sheth S, George P Experimental investigation and fuzzy modelling of flatness and surface roughness for WCB material using face milling operation. In: Mandal DK, Syan CS, editors. CAD/CAM, Robotics and Factories of the Future. New Delhi, India: Springer. pp. 769–777. doi: 10.1007/978-81-322-2740-3_74.

Regular Issue Subscription Original Research
Volume 16
Issue 01
Received 03/09/2024
Accepted 16/01/2025
Published 20/01/2025
Publication Time 139 Days


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