Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method4citations
  • 2020Modeling and Optimization of Cutting Parameters during Machining of Austenitic Stainless Steel AISI304 Using RSM and Desirability Approachcitations
  • 2018Estimation and optimization of flank wear and tool lifespan in finish turning of AISI 304 stainless steel using desirability function approachcitations
  • 2017Quality-productivity decision making when turning of Inconel 718 aerospace alloy: A response surface methodology approachcitations
  • 2015Statistical analysis of AISI304 austenitic stainless steel machining using Ti(C, N)/Al2O3/TiN CVD coated carbide toolcitations

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Khelfaoui, Fethi
1 / 2 shared
Boucherit, Septi
2 / 6 shared
Nouredine, Ouelaa
1 / 1 shared
Hanane, Boumaza
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Berkani, Sofiane
3 / 7 shared
Khettabi, Riad
1 / 4 shared
Lakhdar, Bouzid
1 / 1 shared
Girardin, Frençois
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Belhadi, Salim
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Tebassi, Hamid
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Girardin, François
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Boulanouar, Lakhdar
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Co-Authors (by relevance)

  • Khelfaoui, Fethi
  • Boucherit, Septi
  • Nouredine, Ouelaa
  • Hanane, Boumaza
  • Berkani, Sofiane
  • Khettabi, Riad
  • Lakhdar, Bouzid
  • Girardin, Frençois
  • Belhadi, Salim
  • Tebassi, Hamid
  • Girardin, François
  • Boulanouar, Lakhdar
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document

Estimation and optimization of flank wear and tool lifespan in finish turning of AISI 304 stainless steel using desirability function approach

  • Berkani, Sofiane
  • Athmane, Yallese Mohamed
  • Lakhdar, Bouzid
  • Girardin, Frençois
Abstract

The wear of cutting tools remains a major obstacle.The effects of wear are not only antagonistic at the lifespan and productivity, but also harmful with the surface quality.The present work deals with some machinability studies on flank wear, surface roughness, and lifespan in finish turning of AISI 304 stainless steel using multilayer Ti(C,N)/Al2O3/TiN coated carbide inserts.The machining experiments are conducted based on the response surface methodology (RSM).Combined effects of three cutting parameters, namely cutting speed, feed rate and cutting time on the two performance outputs (i.e.VB and Ra), and combined effects of two cutting parameters, namely cutting speed and feed rate on lifespan (T), are explored employing the analysis of variance (ANOVA).The relationship between the variables and the technological parameters is determined using a quadratic regression model and optimal cutting conditions for each performance level are established through desirability function approach (DFA) optimization.The results show that the flank wear is influenced principally by the cutting time and in the second level by the cutting speed.In addition, it is indicated that the cutting time is the dominant factor affecting workpiece surface roughness followed by feed rate, while lifespan is influenced by cutting speed.The optimum level of input parameters for composite desirability was found Vc1-f1-t1 for VB, Ra and Vc1-f1 for T, with a maximum percentage of error 6.38%.

Topics
  • impedance spectroscopy
  • surface
  • stainless steel
  • experiment
  • carbide
  • composite
  • tin