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By: V Basil Hans.
1 Research Professor, Department of Mechanical Engineering,
Srinivas University, Pandeshwar, Mangalore, Karnataka, India.
Abstract
Mechanical processing is very important in modern production since it changes raw materials into usable parts with exact sizes and qualities. This article looks at the basic methods of mechanical processing, such as cutting, shaping, grinding, milling, and joining. It also talks about how important these methods are for getting things done quickly, accurately, and with the least amount of material possible. Recent advancements, including computer numerical control (CNC) machining, automation, sophisticated tooling materials, and smart production systems, are examined, highlighting their effects on productivity, cost efficiency, and product quality. The use of digital technologies and eco-friendly methods in mechanical processing is also looked at. This shows how modern manufacturing deals with problems like energy use, waste reduction, and process reliability. This study gives an overview of what’s happening now and what will happen in the future in mechanical processing. It shows how important it is for improving manufacturing performance and making industries more competitive. Predictive control of material behavior during processing is emphasized as being made possible by the integration of digital technologies, such as simulation, sensor-based monitoring, and data-driven optimization. The implementation of energy-efficient and sustainable methods in mechanical processing is being investigated, addressing issues with resource usage, process dependability, and environmental impact. Overall, this study highlights how important mechanical processing is for customizing material characteristics, enhancing manufacturing efficiency, and boosting industrial competitiveness in the creation of cutting-edge functional materials.
Keywords: CNC Machining, Industrial Automation, Process Innovation, Mechanical Processing, and Manufacturing Techniques.
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Citation:
Refrences:
1. Papananias M, McLeay TE, Mahfouf M, Kadirkamanathan V. A Bayesian framework to estimate
part quality and associated uncertainties in multistage manufacturing. 2019.
2. Yadav JR, Kumar SM. Optimisation of milling process parameters of HSS using Taguchi parameter
design approach. 2018.
3. Sealey AI, Cummings CB, Collins PB, Jones PE, et al. CNC application and design. 2011.
4. Razanica SENA D. Ductile damage modelling of the machining process. 2019.
5. P P, Harsurkar H, Shanth Kumar R. Using the Taguchi method to recognise MRR and surface
coarseness values. 2018.
6. Boswell B, Islam M, Davies I. A review of micro-mechanical cutting. 2017.
7. Caggiano A, Improta I, Nele L. Characterisation of a new dry drill-milling process of carbon fibre
reinforced polymer laminates. 2018. Available from: ncbi.nlm.nih.gov.
8. I A, Ghasemi H, Khorasani Gibson AM. Study on the impact of a pre-center drill hole and tool
material on thrust force, surface roughness, and cylindricity in the drilling of Al7075. 2018.
Available from: ncbi.nlm.nih.gov.
9. Arrizubieta JI, Cortina M, Ruiz JE, Lamikiz A. Combination of laser material deposition and laser
surface processes for the holistic manufacture of Inconel 718 components. 2018. Available from:
ncbi.nlm.nih.gov.
10. Elghawail AM. Flexible forming of 3-D metal panels. 2018.
11. Shuaib NAR. An investigation of size effects on thin sheet formability for microforming
applications. 2008. Available from: https://www.grafiati.com/.
12. Plata G, Lozares J, Sánchez A, Hurtado I, et al. Preliminary study on the capability of the novel
near solidus forming (NSF) technology to manufacture complex steel components. 2020. Available
from: ncbi.nlm.nih.gov.
13. Kukuryk M. Analysis of deformation, the stressed state, and fracture predictions for cogging shafts
with convex anvils. 2021. Available from: ncbi.nlm.nih.gov.
14. McQueen HJ, Leo P. Hot rolling: mechanical, microstructural, modelling, simulation for both
ferrous and light metals. 2015. Available from: https://www.sciencedirect.com/.
15. Denkena B, Grove T, Breidenstein B, Abrão A, et al. Correlation between process load and deep
rolling induced residual stress profiles. Procedia CIRP. 2018;78:161–165.
16. Jabeen MR, Hyvärinen T, Kärki T. The modelling of extrusion processes for polymers—a review.
2020. Available from: ncbi.nlm.nih.gov.
17. Fang Q, Hanna M. Designing extrusion systems. 2010. Available from: taylorfrancis.com.
18. Neumann R. Two-scale thermomechanical simulation of hot stamping. 2017. Available from:
books.google.com.
19. Bylya OI, Ward M, Krishnamurthy B, Tamang S, et al. Modelling challenges for incremental bulk
processes despite advances in simulation technology: example issues and approaches. Procedia
Eng. 2017;207:2358–2363.
20. Carbonell Puigbó JM, Rodriguez Prieto JM, Jonsen P. Numerical methods for modelling chip
formation. 2018. Available from: https://scholar.google.com/.
21. Johansson D. Tool life and cutting data modelling in metal cutting: evaluation, simulation, and cost
efficiency. Lund: Lund University, Department of Mechanical Engineering; 2019.
22. Buana BR, Qing F, WSTM S. Analyse tool wear of cemented tungsten carbide end mill 2T, 3T, 4T
for output of force and temperature data using Third Wave AdvantEdge software simulation. 2017.
Available from: https://eprints.ums.ac.id/.
23. Hon KKB, Baharudin BTH. The effect of high-speed machining on computing and automation.
2006. Available from: https://repository.rit.edu/.
24. MacDonald J. Strategies for improving the process of making a business machine frame. 1998.
Available from: https://repository.rit.edu/.
25. Papananias M, McLeay T, Mahfouf M, Kadirkamanathan V. An intelligent metrology informatics
system based on neural networks for multistage manufacturing processes. Procedia CIRP.
2019;82:444–449.
26. Grochała D, Berczyński S, Grządziel Z. Analysis of surface geometry changes after hybrid milling
and burnishing by ceramic ball. 2019. Available from: ncbi.nlm.nih.gov.
27. Edelmann PA, Wüst R, Hellmann R. Areal surface roughness optimisation of maraging steel parts
produced by hybrid additive manufacturing. 2020. Available from: ncbi.nlm.nih.gov.
28. Cortina M, Arrizubieta JI, Ruiz JE, Ukar E, et al. Recent advances in industrial hybrid machine
tools integrating additive and subtractive processes. 2018. Available from: ncbi.nlm.nih.gov.
29. Kocich R, Kunčická L. Special issue: mechanical properties in progressive mechanically processed
metallic materials. 2020. Available from: ncbi.nlm.nih.gov.
30. Urbina M, Rinaldi A, Cuesta-Lopez S, Sobetkii A, et al. The methodologies and strategies for the
development of novel material systems and coatings for applications in extreme environments—a
critical review. 2018. Available from: https://www.academia.edu/.
31. Bonilla Hernández AE, Lu T, Beno T, Fredriksson C, et al. Process sustainability evaluation for
manufacturing of a component with the 6R application. 2019. Available from: scholars.uky.edu.
32. Tuominen H. The modernisation of safeguards to enhance machinery safety. 2017.
33. Hall CD. Technical approach to the maintenance and overhaul of gas turbines. 1983. Available
from: https://epdf.pub/.
