Author
Basol, Altug Melik, Yildiz, Ersin
Publication Date
2024-01-01
Publication Place
-
Springer Nature
Subject
Sensitivity coefficient calculation, Gradient-based optimization, Vacuum batch furnace, Inverse heat transfer
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-3-031-66609-4
Record ID
b1ccc53f-00c1-4b46-96bc-c72f5e8e5dea
Library Location
Mechanical Engineering
Date
2024-01-01
Sample Text
Optimizing heat treatment processes is crucial for achieving optimal product quality within economically and environmentally effective ways. Non-uniformities in heat treatments can have detrimental effects on product quality, resulting in substantial losses in manufacturing efficiency. To optimize these heat treatment processes, this study employs nonlinear least square minimization with the Gauss-Newton algorithm to solve inverse boundary design problems. A vacuum batch furnace has been considered where the desired heat treatment is imposed at the specific locations referred to as design points within the workpiece. Two heater layouts were analyzed, and the required furnace heater temperatures have been successfully determined to achieve the desired heat treatment for both layouts. The findings highlight that ensuring uniform treatment at the design points requires nonuniform heater temperatures. Our analyses reveal that inverse solutions for heat treatment processes provide valuable tools for obtaining a range of desired treatments while highlighting the trade-offs between treatment effectiveness and practical implementation.
DOI
10.1007/978-3-031-66609-4_21
Cilt
2
