INVESTIGATING MAGNETIC FIELD IMPACTS ON TOOL WEAR USING TAGUSHI METHOD SIMULATION

Enhancing the lifespan of cutting tools is pivotal for boosting the profitability and efficiency of manufacturing operations. By reducing the frequency of tool replacements, manufacturers can significantly lower the associated costs and minimize production interruptions, leading to a more streamlined and cost-effective production process. Furthermore, extended tool life ensures consistent and superior quality of finished products, which is crucial for maintaining competitive advantage and customer satisfaction. In this article, we delve into the impact of the magnetic field and various cutting parameters on the behavior of cutting tools during machining. Utilizing the Taguchi method, a robust statistical tool for optimizing process parameters, we systematically investigated the interplay between these factors. Our study revealed that the application of a magnetic field, in conjunction with optimized cutting parameters, markedly improves tool performance and durability. The empirical data obtained from our experiments exhibited an exceptional alignment with our predictive model, demonstrating a 99.58% agreement. This high level of accuracy underscores the reliability of our approach and highlights the potential for implementing these findings in real-world manufacturing settings. By adopting such advanced techniques, manufacturers can achieve significant improvements in tool longevity, ultimately fostering greater operational efficiency and profitability.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15044042
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

INVESTIGATING MAGNETIC FIELD IMPACTS ON TOOL WEAR USING TAGUSHI METHOD SIMULATION

Zenodo (CERN European Organization for Nuclear Research)
Advanced machining processes and optimization
article

INVESTIGATING MAGNETIC FIELD IMPACTS ON TOOL WEAR USING TAGUSHI METHOD SIMULATION

article en

Abstract

Enhancing the lifespan of cutting tools is pivotal for boosting the profitability and efficiency of manufacturing operations. By reducing the frequency of tool replacements, manufacturers can significantly lower the associated costs and minimize production interruptions, leading to a more streamlined and cost-effective production process. Furthermore, extended tool life ensures consistent and superior quality of finished products, which is crucial for maintaining competitive advantage and customer satisfaction. In this article, we delve into the impact of the magnetic field and various cutting parameters on the behavior of cutting tools during machining. Utilizing the Taguchi method, a robust statistical tool for optimizing process parameters, we systematically investigated the interplay between these factors. Our study revealed that the application of a magnetic field, in conjunction with optimized cutting parameters, markedly improves tool performance and durability. The empirical data obtained from our experiments exhibited an exceptional alignment with our predictive model, demonstrating a 99.58% agreement. This high level of accuracy underscores the reliability of our approach and highlights the potential for implementing these findings in real-world manufacturing settings. By adopting such advanced techniques, manufacturers can achieve significant improvements in tool longevity, ultimately fostering greater operational efficiency and profitability.

Zenodo (CERN European Organization for Nuclear Research)
Polytechnic University of Timişoara (RO)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Advanced machining processes and optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.