| Issue |
EPJ Web Conf.
Volume 357, 2026
International Conference on Advanced Materials and Characterization (ICAMC 2025)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 5 | |
| Section | Energy & Engineering Materials | |
| DOI | https://doi.org/10.1051/epjconf/202635701004 | |
| Published online | 10 March 2026 | |
https://doi.org/10.1051/epjconf/202635701004
Development of an Energy-Efficient Machining Chip Dryer for Enhanced Metal Recycling
1 Assistant Professor, Department of Mechanical Engineering, Walchand Institute of Technology, Solapur, 413006 Maharashtra, India
2,3,4 Research Scholar, Department of Mechanical Engineering, Walchand Institute of Technology, Solapur, 413006 Maharashtra, India.
5 Professor, Department of Mechanical Engineering, Walchand Institute of Technology, Solapur, 413006 Maharashtra, India.
6 Design Manager, R&D Department, Laxmi Hydraulics Pvt, Ltd, Solapur, 413006 Maharashtra, India.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 10 March 2026
Abstract
This study presents the design, analysis, and optimization of a machining chip dryer tailored for industrial environments generating substantial quantities of metal chips during turning, milling, and drilling operations. These chips are often saturated with cutting fluids such as oil or coolant, rendering them hazardous and unsuitable for direct recycling or disposal. Improperly dried chips contribute to storage challenges, corrosion, unpleasant odours, slippery work surfaces, and potential fire risks. Moreover, moisture-laden chips degrade the quality of recycled metal and elevate environmental concerns. The proposed dryer integrates three core components: a centrifugal air blower delivering hot air, a temperature-controlled heating chamber, and a conveyor mechanism ensuring uniform chip movement and consistent drying. Critical process parameters—including airflow rate, drying temperature, and conveyor speed—are optimized for enhanced performance. Computational Fluid Dynamics (CFD) is employed to model the airflow and heat distribution within the system, ensuring even thermal exposure. Response Surface Methodology (RSM) facilitates experimental design and process optimization, while Analysis of Variance (ANOVA) identifies the most influential variables. The resulting system significantly improves drying efficiency, promotes effective chip recycling, reduces energy consumption, and enhances operational safety.
Key words: Machining chip dryer / Air flow rate / Temperature / Blower and Conveyor Specifications / 3D CAD model
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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