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 (9/9 displayed)

  • 2024Multi-Response Optimization of Electrochemical Machining Parameters for Inconel 718 via RSM and MOGA-ANN6citations
  • 2024Indentation Behavior Assessment of As-Built, Solution, and Artificial Aged Heat-Treated Selective Laser Melting Specimens of AlSi10Mgcitations
  • 2023Additively Manufactured Parts from AA2011-T6 Large-Diameter Feedstocks Using Friction Stir Deposition8citations
  • 2022Multipoint Forming Using Hole-Type Rubber Punch2citations
  • 2022Wear Characteristics of Mg Alloy AZ91 Reinforced with Oriented Short Carbon Fibers12citations
  • 2022A Comparative Machinability Study of SS 304 in Turning under Dry, New Micro-Jet, and Flood Cooling Lubrication Conditions6citations
  • 2022A Novel Friction Stir Deposition Technique to Refill Keyhole of Friction Stir Spot Welded AA6082-T6 Dissimilar Joints of Different Sheet Thicknesses18citations
  • 2021Optimization of Abrasive Water Jet Machining of SiC Reinforced Aluminum Alloy Based Metal Matrix Composites Using Taguchi–DEAR Technique44citations
  • 2021Grain Structure, Crystallographic Texture, and Hardening Behavior of Dissimilar Friction Stir Welded AA5083-O and AA5754-H1434citations

Places of action

Chart of shared publication
Joardar, Hillol
2 / 3 shared
Saha, Subhadeep
1 / 3 shared
Mondal, Arpan Kumar
1 / 1 shared
Cep, Robert
1 / 5 shared
Ataya, Sabbah
4 / 7 shared
Siddiqui, Ali Khursheed
1 / 1 shared
Yang, Junzhou
1 / 1 shared
Djuansjah, Joy
1 / 1 shared
Khan, Rashid
1 / 3 shared
Habba, Mohamed
1 / 1 shared
Ahmed, Mohamed
1 / 3 shared
Latief, Fahamsyah
1 / 1 shared
Abdul-Latif, Akrum
1 / 7 shared
El-Sayed Seleman, Mohamed
1 / 1 shared
Hassan, Ahmed
1 / 5 shared
Essa, Khamis
1 / 46 shared
Tolipov, Abror
1 / 3 shared
Alfozan, Adel Khalid
1 / 1 shared
Hassanin, Hany
1 / 19 shared
Ahmadein, M.
1 / 2 shared
Eldessouky, Hossam Mohamed
1 / 1 shared
Hajlaoui, Khalil
1 / 2 shared
Latief, Fahamsyah H.
1 / 2 shared
Habba, Mohamed I. A.
1 / 2 shared
Soliman, Ahmed M.
1 / 3 shared
Alfozan, Adel
1 / 1 shared
Louhichi, Borhen
1 / 1 shared
Reyad, Hagar A.
1 / 1 shared
Albaijan, Ibrahim
1 / 4 shared
Ahmadein, Mahmoud
1 / 1 shared
Elsheikh, Ammar H.
1 / 4 shared
Allam, Tarek
1 / 6 shared
Chart of publication period
2024
2023
2022
2021

Co-Authors (by relevance)

  • Joardar, Hillol
  • Saha, Subhadeep
  • Mondal, Arpan Kumar
  • Cep, Robert
  • Ataya, Sabbah
  • Siddiqui, Ali Khursheed
  • Yang, Junzhou
  • Djuansjah, Joy
  • Khan, Rashid
  • Habba, Mohamed
  • Ahmed, Mohamed
  • Latief, Fahamsyah
  • Abdul-Latif, Akrum
  • El-Sayed Seleman, Mohamed
  • Hassan, Ahmed
  • Essa, Khamis
  • Tolipov, Abror
  • Alfozan, Adel Khalid
  • Hassanin, Hany
  • Ahmadein, M.
  • Eldessouky, Hossam Mohamed
  • Hajlaoui, Khalil
  • Latief, Fahamsyah H.
  • Habba, Mohamed I. A.
  • Soliman, Ahmed M.
  • Alfozan, Adel
  • Louhichi, Borhen
  • Reyad, Hagar A.
  • Albaijan, Ibrahim
  • Ahmadein, Mahmoud
  • Elsheikh, Ammar H.
  • Allam, Tarek
OrganizationsLocationPeople

article

Multi-Response Optimization of Electrochemical Machining Parameters for Inconel 718 via RSM and MOGA-ANN

  • Joardar, Hillol
  • Saha, Subhadeep
  • Mondal, Arpan Kumar
  • Alsaleh, Naser
  • Cep, Robert
  • Ataya, Sabbah
Abstract

<jats:p>Inconel 718’s exceptional strength and corrosion resistance make it a versatile superalloy widely adopted in diverse industries, attesting to its reliability. Electrochemical machining (ECM) further enhances its suitability for intricate part fabrication, ensuring complex shapes, dimensional accuracy, stress-free results, and minimal thermal damage. Thus, this research endeavors to conduct a novel investigation into the electrochemical machining (ECM) of the superalloy Inconel 718. The study focuses on unraveling the intricate influence of key input process parameters—namely, electrolytic concentration, tool feed rate, and voltage—on critical response variables such as surface roughness (SR), material removal rate (MRR), and radial overcut (RO) in the machining process. The powerful tool, response surface methodology (RSM), is used for understanding and optimizing complex systems by developing mathematical models that describe the relationships between input and response variables. Under a 95% confidence level, analysis of variance (ANOVA) suggests that electrolyte concentration, voltage, and tool feed rate are the most important factors influencing the response characteristics. Moreover, the incorporation of ANN modeling and the MOGA-ANN optimization algorithm introduces a novel and comprehensive approach to determining the optimal machining parameters. It considers multiple objectives simultaneously, considering the trade-offs between them, and provides a set of solutions that achieve the desired balance between MRR, SR, and RO. Confirmation experiments are carried out, and the absolute percentage errors between experimental and optimized values are assessed. The detailed surface topography and elemental mapping were performed using a scanning electron microscope (SEM). The nano/micro particles of Inconel 718 metal powder, obtained from ECM sludge/cakes, along with the released hydrogen byproducts, offer promising opportunities for recycling and various applications. These materials can be effectively utilized in powder metallurgy products, leading to enhanced cost efficiency.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • corrosion
  • scanning electron microscopy
  • experiment
  • strength
  • Hydrogen
  • superalloy