Multi-Objective Optimization for Contemporary Drilling of Nimonic Alloy Using Taguchi-Grey Relational Analysis Mohan Babu University

Format:

Book

Conference/Event

Author/Creator:

Pasupuleti, Thejasree, author.

Contributor:

D, Palanisamy

Krishnamachary, PC

Natarajan, Manikandan

Silambarasan, R.

Conference Name:

Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility (ADMMS'25) (2025-02-07 : Chennai, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

The objective of this research is to develop an optimization strategy for the Electrochemical Drilling process on Nimonic alloy material, taking into account various performance factors. The optimization strategy relies on the integration of the Taguchi method with Grey Relational Analysis (GRA). Nimonic is extensively utilized in aerospace, nuclear, and marine industries, specifically in situations that are prone to corrosion. The experimental trials are structured based on Taguchi's principle and encompass three machining variables: feed rate, electrolyte flow rate, and electrolyte concentration. This inquiry examines performance indicators like the rate of material removal, surface roughness, as well as geometric parameters such as overcut, shape, and orientation tolerance. Based on the investigation, it is determined that the feed rate is the primary factor that directly affects the intended performance criteria. In order to enhance the accuracy of predictions, multiple regression models are created and performance metrics are constructed. A validation test was performed to corroborate the findings acquired using the GRA approach. The test results demonstrate that the proposed strategy is markedly superior to earlier approaches

Notes:

Vendor supplied data

Publisher Number:

2025-28-0050

Access Restriction:

Restricted for use by site license