Study and optimization of process parameters for deformation machining stretching mode
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.2.31Keywords:
Deformation machining, Surface roughness, Hardness, Grey Relation Analysis, Analysis of Variance (ANOVA)Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Monolithic thin-structure parts with intricate geometric designs are employed in a variety of aeronautical, medical, marine, and automotive applications, which include the moldlines of the fuselage, turbine blades, impellers, avionic shelves, irregular fins, prostheses, bone and joint support, and skull plates. The deformation machining process is the solution to this challenging and difficult-to-manufacture high-quality components with intricate narrow geometries at competitive prices. The aim of the present study is to assess the effect of process parameters of the deformation machining process wherein a thin, floor-like structure is created by milling and is then formed using a single-point incremental forming tool. Investigation involves the design and development of tooling required for the process followed by feasibility checking of the process. To examine the impact of different process parameters on the process response, the experiments were carried out using the design of experiments. The findings of this study indicate that different process parameters, including spindle speed, tool diameter, incremental step depth, and feed rate, have a substantial impact on the process response, like thickness, surface finish, and hardness. Uneven and non-uniform surface patterns during SEM indicate that it is needed to examine the impact of process parameters. This research involves the feasibility study of a new hybrid technique of deformation machining. Conventionally, a metallic structure is produced by joining various components through welding or by fastening. These methods require additional expenditure on equipment, storage, floor space, human resources, etc., with higher lead time. Joining increases weight and reduces fatigue strength. The creation of monolithic structures can eliminate all these disadvantages.Abstract
How to Cite
Downloads
Similar Articles
- Nilay Shukla, Ketan Desai, Study on the right to education with special references to public private partnerships , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Sindhu S, L. Arockiam, DRMF: Optimizing machine learning accuracy in IoT crop recommendation with domain rules and MissForest imputation , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Kanwar D Singh, Rashmi Ashtt, Barriers to last mile connectivity: The role of crime in metro station accessibility , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Shivani Goel, Rashmi Ashtt, Monali Wankar, Analyzing the impact of crime on quality of life in Old Delhi: A quantitative approach , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Amanda Q. Okronipa, Jones Y. Nyame, Exploring the effect of perceived empathy and social presence on the intention to use AI in higher education , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A framework for diabetes diagnosis based on type-2 fuzzy semantic ontology approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- M. Iniyan, A. Banumathi, The WBANs: Steps towards a comprehensive analysis of wireless body area networks , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Abhinav P. Yadav, Shubham Gudadhe, Sarika Kumari, Sadanand Maurya, Manikant Tripathi, Awadhesh K. Shukla, Assessment of heavy metal contamination in Trifolium alexandrium and Spinacia oleracea using ICP-MS: A comparative analysis across different districts in eastern Uttar Pradesh , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Annalakshmi D., C. Jayanthi, An asymmetric key encryption and decryption model incorporating optimization techniques for enhanced security and efficiency , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- P. John Robinson, P. Susai Alexander, Neural net influenced magdm problem with modified choquet integral aggregation operators and correlation coefficient for triangular fuzzy intuitionistic fuzzy sets , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 27 28 29 30 31 32 33 34 35 36 > >>
You may also start an advanced similarity search for this article.

