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Institution

Tunis University

EducationTunis, Tunisia
About: Tunis University is a education organization based out in Tunis, Tunisia. It is known for research contribution in the topics: Population & Thin film. The organization has 11745 authors who have published 15400 publications receiving 154900 citations. The organization is also known as: University of Tunis & UT.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the influence of different machining parameters represented by the cutting speed (Vc), the depth of cut (ap), and the feed rate (f) on the output performance parameters expressed through the surface roughness, the cutting force and power, and the material removal rate (i.e., Ra, Fz, Pc, and MRR) during dry hard turning operation of martensitic stainless steel treated at 59HRC.
Abstract: The present study aims at investigating the influence of the different machining parameters represented by the cutting speed (Vc), the depth of cut (ap), and the feed rate (f) on the output performance parameters expressed through the surface roughness, the cutting force and power, and the material removal rate (i.e., Ra, Fz, Pc, and MRR) during dry hard turning operation of martensitic stainless steel (AISI 420) treated at 59HRC. The machining tests were carried out using the coated mixed ceramic insert (CC6050) according to the Taguchi design (L25). The analysis of the variance (ANOVA) and the Pareto chart analysis led to quantifying the influence of the (Vc, ap, and f) on the output parameters. The response surface methodology (RSM) and the artificial neural networks (ANN) approaches were applied and compared for output parameters modeling. Attempt was further made to optimize the machining parameters using the desirability function (DF). Four objectives were considered including the maximization of the quality and the productivity (through minimizing Ra and maximizing MRR), and reducing the energy consumption over minimizing both (Fz) and (Pc). The results indicated that (Ra) is strongly influenced by the feed rate (in the order of 80.71%), while the depth of cut seems to be the property having the most influence on the cutting force (65.31%), the cutting power (37.56%), and the material removal rate (36.45%). Furthermore, ANN and RSM models were found to predict well experimental results with the former showing higher accuracy. The machining of AISI 420 (59 HRC) steel with coated ceramic led to achieving a quality surface comparable to that found in grinding (i.e., Ra < 0.4 μm).

71 citations

Journal ArticleDOI
TL;DR: In this article, the incorporation of wastes from marbles and tiles factories as mineral additives to self-compacting concrete (SCC) and to substitute at 100% the known additions (limestone filler, fly ash, …).

71 citations

Journal ArticleDOI
TL;DR: In this paper, the real causal links between energy consumption and national income are investigated for the G7 countries by using two nonlinear causality tests in the sense of Hiemstra and Jones (1994), and Kyrtsou and Labys (2006).

71 citations

Journal ArticleDOI
TL;DR: In this paper, the Hermite-Hadamard inequalities for convex functions were established and applied to construct inequalities involving special means of real numbers, some error estimates for the formula midpoint were given, and new inequalities for some special and q -special functions were also pointed out.

70 citations


Authors

Showing all 11809 results

NameH-indexPapersCitations
Walid Saad8574930499
Alexandre Mebazaa8371639967
Albert Y. Zomaya7594624637
Anis Larbi6725915984
Carmen Torres6446115416
Chedly Abdelly6042914181
Hans R. Kricheldorf5782518670
Mohamed Benbouzid5149212164
Enrique Monte481187868
Fayçal Hentati4715310376
A. D. Roses4512024719
Laurent Nahon452056252
Bessem Samet453087151
Maxim Avdeev425268673
Abdellatif Boudabous401745605
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
2022130
20211,621
20201,599
20191,685
20181,689