| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Mabrouki, Tarek
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2024Analysis of the Effect of Substituting Cement With Marble Powder on the Mortar Characteristics Used in 3D Printing
- 2023Selective laser melting of stainless-steel ::a review of process, microstructure, mechanical properties and post-processing treatmentscitations
- 2023Experimental study of morphological defects generated by SLM on 17-4PH stainless steel
- 2023Experimental investigation on the performance of ceramics and CBN cutting materials during dry machining of cast iron: Modeling and optimization study using RSM, ANN, and GAcitations
- 2023Mechanical properties of additively manufactured 17-4PH SS ::heat treatmentcitations
- 2020Modeling and Optimization of Cutting Parameters during Machining of Austenitic Stainless Steel AISI304 Using RSM and Desirability Approachcitations
- 2019Textile composite structural analysis taking into account the forming processcitations
- 2018Estimation and optimization of flank wear and tool lifespan in finish turning of AISI 304 stainless steel using desirability function approachcitations
- 2017Finite Element Analysis of Bend Test of Sandwich Structures Using Strain Energy Based Homogenization Methodcitations
- 2017Predictive modeling and multi-response optimization of technological parameters in turning of Polyoxymethylene polymer (POM C) using RSM and desirability functioncitations
- 2017Quality-productivity decision making when turning of Inconel 718 aerospace alloy: A response surface methodology approachcitations
- 2017Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulation
- 2016Performance of coated and uncoated mixed ceramic tools in hard turning processcitations
- 2015Mathematical modeling for turning on AISI 420 stainless steel using surface response methodologycitations
- 2015Modeling and optimization of tool wear and surface roughness in turning of austenitic stainless steel using response surface methodology
- 2015A new procedure to increase the orthogonal cutting machining time simulatedcitations
- 2014Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulations
- 2014Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulationcitations
- 2014RMS-based optimisation of surface roughness when turning AISI 420 stainless steelcitations
- 2013Three-dimensional finite element modeling of rough to finish down-cut milling of an aluminum alloycitations
- 2012Cutting simulation capabilities based on crystal plasticity theory and discrete cohesive elementscitations
- 2011Application of response surface methodology for determining cutting force model in turning hardened AISI H11 hot work tool steelcitations
Places of action
| Organizations | Location | People |
|---|
conferencepaper
Modeling and optimization of tool wear and surface roughness in turning of austenitic stainless steel using response surface methodology
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 ?ank wear, surface roughness, and lifespan in ?nish turning of AISI304 stainless steel using multilayerTi(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. 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.