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Journals / Sigma Journal of Engineering and Natural Sciences / 2026 / Volume: 37 Issue: 2

MODELING AND OPTIMIZATION OF THE ORIGINAL OFFSET ON THE NC MACHINE TOOL

Farouk Messaoud(University of Tlemcen, Dept. of Mechanical)0000-0003-4948-7510
Mohamed Rahou(Higher School of Applied Sciences, Dept. of Technology)0000-0003-2253-4460
Fethi Sebaa(University of Tlemcen, Dept. of Mechanical)0000-0001-5630-7819
Pages
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Publication Date
2019-06-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this section the defects were modeled by the least square edit method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Currently the trajectories of the cutting tool play an important role in optimizing the manufacturing time and the machining quality (roughness, manufacturing tolerances, etc.).The purpose of this paper is to develop an approach for the manufacturing tolerances optimization under the effect of the cutting tool trajectory.
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Key Findings & Data:This work is organized around two axes.
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Conclusion & Impact:In this section the defects were modeled by the least square edit method.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Optimization · modeling · manufacturing tolerances

Abstract

Currently the trajectories of the cutting tool play an important role in optimizing the manufacturing time and the machining quality (roughness, manufacturing tolerances, etc.).The purpose of this paper is to develop an approach for the manufacturing tolerances optimization under the effect of the cutting tool trajectory. This work is organized around two axes. In the first axis, an experimental study was conducted to determine the cutting tool path with less error. The second axis is devoted to modeling and real-time optimization of the cutting tool path defects. In this section the defects were modeled by the least square edit method.

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Cite This Article

Messaoud, F., Rahou, M., Sebaa, F. (2019). MODELING AND OPTIMIZATION OF THE ORIGINAL OFFSET ON THE NC MACHINE TOOL. Sigma Journal of Engineering and Natural Sciences, Volume: 37 Issue: 2. https://ajindex.com/articles/1632746

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