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Fracture Views: 732 Downloads: 680 Vol. 17, No. 65 (2023) June 22, 2023 pp. 32-46

Investigation on Microstructure, Hardness, Wear behavior and Fracture Surface Analysis of Strontium (Sr) and Calcium (Ca) Content A357 Modified Alloy by Statistical Technique

K. Ganesh, K. Hemachandra Reddy, S. Sudhakar Babu, R Suresh

The aluminum alloy are extensively used in several industrial applications. Stir casting is one of the most frequently accepted methods. In the present investigation, how the microstructure, mechanical and wear mechanics of A357 alloy were…

10.3221/IGF-ESIS.65.03

Details: Investigation on Microstructure, Hardness, Wear behavior and Fracture Surface Analysis of Strontium (Sr) and Calcium (Ca) Content A357 Modified Alloy by Statistical Technique PDF Visual Abstract

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SI: Developments in the fracture and fatigue assessment of materials Views: 1,132 Downloads: 470 Vol. 12, No. 46 (2018) September 23, 2018 pp. 14-24

Investigating the contribution of geometrical parameters and immersion time on fracture toughness of jute fabric composites using statistical techniques

Dr. Bharath K N, G. B. Manjunatha

The aim of this work is to evaluate the failure analysis of jute fabric reinforced composite using statistical technique for marine applications. A fracture mechanics approach is proposed to determine the failure load and fracture…

10.3221/IGF-ESIS.46.02

Details: Investigating the contribution of geometrical parameters and immersion time on fracture toughness of jute fabric composites using statistical techniques PDF Visual Abstract

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Miscellanea Views: 763 Downloads: 446 Vol. 10, No. 37 (2016) June 13, 2016 pp. 369-381

A robust approach for the determination of Gurson model parameters

R. Sepe, G. Lamanna, F. Caputo

Among the most promising models introduced in recent years, with which it is possible to obtain very useful results for a better understanding of the physical phenomena involved in the macroscopic mechanism of crack propagation, the one…

10.3221/IGF-ESIS.37.48

Details: A robust approach for the determination of Gurson model parameters PDF

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Miscellanea Views: 857 Downloads: 498 Vol. 7, No. 26 (2013) September 25, 2013 pp. 01

Investigation via morphological analysis of aluminium foams produced by replication casting

A. Boschetto, L. Bottini, F. Campana, L. Consorti, D. Pilone

Foams and porous materials with cellular structure have many interesting combinations of physical and mechanical properties coupled with low specific weight. By means of replication casting it is possible to manufacture foams from molten…

10.3221/IGF-ESIS.26.01

Details: Investigation via morphological analysis of aluminium foams produced by replication casting PDF Video Fig. 2

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SI: Research activities of the Greek Society of Experimental Mechanics of Materi Views: 794 Downloads: 586 Vol. 13, No. 50 (2019) September 2, 2019 pp. 505-516

The use of acoustic emissions technique in the monitoring of fracturing in concrete using soundless chemical demolition agent

Vassilios Saltas, Despoina Peraki, Filippos Vallianatos

Soundless chemical demolition agents (SCDAs) have been used during the last decades in the demolition of boulders and concrete structures as well as in open-surface and sub-surface rock excavation, as an alternative to the use of…

10.3221/IGF-ESIS.50.42

Details: The use of acoustic emissions technique in the monitoring of fracturing in concrete using soundless chemical demolition agent PDF Visual Abstract

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Fatigue and Fracture of metallic alloys Views: 489 Downloads: 307 Vol. 19, No. 74 (2025) August 10, 2025 pp. 73-88

Study on B4C Particulates Size on Mechanical Behavior, Fractured Surface and Optimization of the Wear Parameters of the Al7075 Composites by Statistical Approach

M. Ravikumar

Aluminum composites with varied weight percentages of 0-2.5 B₄C particles and micro- and nanoparticle sizes were fabricated by stir-casting. The material's mechanical and wear characteristics were evaluated. We used dry pin-on-disc wear…

10.3221/IGF-ESIS.74.06

Details: Study on B4C Particulates Size on Mechanical Behavior, Fractured Surface and Optimization of the Wear Parameters of the Al7075 Composites by Statistical Approach HTML PDF Visual Abstract

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Integrity of materials and structures Views: 421 Downloads: 301 Vol. 20, No. 75 (2026) October 25, 2025 pp. 179-199

Optimization of austenitic and ferritic steels for deep drawing. Part 2: FEM analyses with damage development.

Andrea Casaroli, Edoardo Scabini, Marco Virginio Boniardi, Riccardo Andreotti, Barbara Rivolta

Deep drawing of sheet metal is a crucial industrial process due to its high productivity and low cost per unit produced. Stainless steels are ideal for this process, given their high deformability compared to other steels. Despite its…

10.3221/IGF-ESIS.75.13

Details: Optimization of austenitic and ferritic steels for deep drawing. Part 2: FEM analyses with damage development. PDF HTML Visual Abstract

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Integrity of materials and structures Views: 1,035 Downloads: 607 Vol. 18, No. 70 (2024) August 15, 2024 pp. 157-176

Effect of printing process parameters on tensile strength and wear rate of 17-4PH stainless steel deposited using SLM process

Priya Sahadevan, Pon Selvan Chithirai, Avinash Lakshmikanthan, Amiya Bhaumik, Agustin Flores Cuautle

In the current work 17-4PH Stainless Steel is deposited using SLM process. It is widely used to build structural parts appropriate for automotive, medical, and aerospace applications. The 17-4 PH SS samples were deposited using technical…

10.3221/IGF-ESIS.70.09

Details: Effect of printing process parameters on tensile strength and wear rate of 17-4PH stainless steel deposited using SLM process PDF Visual Abstract

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Integrity of materials and structures Views: 453 Downloads: 609 Vol. 18, No. 70 (2024) July 16, 2024 pp. 55-70

Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load

Toan Pham Bao, Vien Le-Ngoc

This paper presents a novel method of assessing structural damage in beams exposed to moving loads via acceleration signals through experimental studies. In this study, beams are supported on both ends, and their dynamic response to moving…

10.3221/IGF-ESIS.70.03

Details: Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load PDF Visual Abstract

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Investigation on Microstructure, Hardness, Wear behavior and Fracture Surface Analysis of Strontium (Sr) and Calcium (Ca) Content A357 Modified Alloy by Statistical Technique

Investigating the contribution of geometrical parameters and immersion time on fracture toughness of jute fabric composites using statistical techniques

A robust approach for the determination of Gurson model parameters

Investigation via morphological analysis of aluminium foams produced by replication casting

The use of acoustic emissions technique in the monitoring of fracturing in concrete using soundless chemical demolition agent

Study on B4C Particulates Size on Mechanical Behavior, Fractured Surface and Optimization of the Wear Parameters of the Al7075 Composites by Statistical Approach

Optimization of austenitic and ferritic steels for deep drawing. Part 2: FEM analyses with damage development.

Effect of printing process parameters on tensile strength and wear rate of 17-4PH stainless steel deposited using SLM process

Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load