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SI: Structural Integrity and Safety: Experimental and Numerical Perspectives Views: 1,469 Downloads: 682 Vol. 15, No. 55 (2021) December 28, 2020 pp. 119-135

Fatigue Behavior of Metallic Components Obtained by Topology Optimization for Additive Manufacturing

F.K. Fiorentin, B. Oliveira, J.C.R. Pereira, J.A.F.O. Correia, Abilio M.P. de Jesus, F. Berto

The main goal of the present research is to propose an integrated methodology to address the fatigue performance of topology optimized components, produced by additive manufacturing. The main steps of the component design will be…

10.3221/IGF-ESIS.55.09Copy the DOI link

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Advanced Manufacturing and Processing Views: 758 Downloads: 779 Vol. 18, No. 67 (2024) December 17, 2023 pp. 176-191

Investigations on tool wear behavior in turning AISI 304 stainless steel: An empirical and neural network modeling approach

Satish Chinchanikar, Mahendra Gadge

Machining with a cutting edge with extensive damage or a fractured cutting edge significantly influences the machining performance. Therefore, investigations on tool wear behavior, their forms, and wear mechanisms will be very helpful in…

10.3221/IGF-ESIS.67.13Copy the DOI link

Details: Investigations on tool wear behavior in turning AISI 304 stainless steel: An empirical and neural network modeling approach PDF Visual Abstract

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SI: Steels and Composites for Engineering Structures Views: 1,224 Downloads: 1,140 Vol. 15, No. 58 (2021) September 25, 2021 pp. 282-295

Influence of 3d-printing parameters on the mechanical properties of 17-4PH stainless steel produced through Selective Laser Melting

Francesca Romana Andreacola, Ilaria Capasso, Letizia Pilotti, Giuseppe Brando

Additive Manufacturing (AM) is a technological process in which elements are fruitfully built up adding materials layer by layer. AM had a massive development in recent times, thanks to its intrinsic advantages, especially if compared with…

10.3221/IGF-ESIS.58.21Copy the DOI link

Details: Influence of 3d-printing parameters on the mechanical properties of 17-4PH stainless steel produced through Selective Laser Melting PDF Visual Abstract

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Analytical, computational and physical models Views: 732 Downloads: 575 Vol. 18, No. 70 (2024) August 2, 2024 pp. 71-90

Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS

Paresh Kulkarni, Satish Chinchanikar

Soft computing techniques, with their self-learning capabilities, fuzzy principles, and evolutionary computational philosophy, are being increasingly utilized in modeling complex machining processes. This study develops artificial neural…

10.3221/IGF-ESIS.70.04Copy the DOI link

Details: Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS PDF Visual Abstract

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Failure Analysis and Forensic Engineering Views: 500 Downloads: 387 Vol. 18, No. 70 (2024) September 5, 2024 pp. 242-256

Tool wear evaluation of self-propelled rotary tool and conventional round tool during turning Inconel 718

Satish Chinchanikar, Nitin Motgi

Enhancing the machinability of difficult-to-cut materials is imperative, and a non-conventional rotary tool has shown high potential when machining these materials. This work comparatively evaluates the tool wear of conventional round…

10.3221/IGF-ESIS.70.14Copy the DOI link

Details: Tool wear evaluation of self-propelled rotary tool and conventional round tool during turning Inconel 718 PDF Visual Abstract

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Failure Analysis and Forensic Engineering Views: 1,571 Downloads: 517 Vol. 18, No. 68 (2024) February 15, 2024 pp. 222-241

Machining effects and multi-objective optimization in Inconel 718 turning with unitary and hybrid nanofluids under MQL

Satish Chinchanikar, Paresh Kulkarni

Designing tooling and cooling systems to prevent cutting tool damage is crucial while machining difficult-to-cut nickel alloys. This study investigates the machining effects during turning Inconel 718 using unitary aluminum oxide (Al₂O₃)…

10.3221/IGF-ESIS.68.15Copy the DOI link

Details: Machining effects and multi-objective optimization in Inconel 718 turning with unitary and hybrid nanofluids under MQL PDF Visual Abstract

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