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
- P. Rathinabhagya, J. Merline Vinotha, Fuzzy vehicle routing problem for a municipal solid waste management system with greenhouse gas emission at various disposal stages , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- T Sowmya Priyadharshini, Rengasamy Sathya, Influence of Different Extraction Solvents and the Micronutrient Composition on the Bioactive Properties and Antimicrobial Efficacy of Spirulina Maxima Extracts , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Naresh Vyas, Dushyant Dave, Impact of Textile Effluents on Water in and Around Pali, Western Rajasthan, India , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Dhulasi Priya S, Saranya K G, Significance of artificial intelligence in the development of sustainable transportation , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Engida Admassu, Classifying enset based on their disease tolerance using deep learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Saumya Trivedi, Amit Sinha, Satyendra P. Singh, Ramya Singh, A study on factors influencing lending decisions for MSMEs by scheduled commercial banks in the CGTSME scheme , The Scientific Temper: Vol. 15 No. 02 (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
- B. S. E. Zoraida, J. Jasmine Christina Magdalene, Smart grid precision: Evaluating machine learning models for forecasting of energy consumption from a smart grid , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Mineshi Mishra, Purnima Awasthi, Psychosocial factors affecting risk of post-partum depression among mothers and their Birth satisfaction: A systematic review , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- J. Pavithra, Status of investment in startup in India – An analysis , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
<< < 18 19 20 21 22 23 24 25 26 27 > >>
You may also start an advanced similarity search for this article.

