Antonio Clareti Pereira* Ph.D. in Chemical Engineering, Federal University of Ouro Preto (UFOP) – Department of Graduate Program in Materials Engineering, Ouro Preto, MG, Brazil. DOI: 10.5281/zenodo.19136721 Solution mining has expanded globally as an alternative to conventional mining for salt, Read More …
Tag: IKR Journal of Engineering
Recovery of Rare Earth Elements from Hard Disk Drives: Technologies, Challenges, and Circular Economy Perspectives
Antonio Clareti Pereira* PhD in Chemical Engineering Federal University of Minas Gerais – UFMG, Department of Chemical Engineering Belo Horizonte – MG – Brazil DOI: 10.5281/zenodo.19068704 Rare earth elements (REEs), especially neodymium (Nd), praseodymium (Pr), and dysprosium (Dy), are crucial Read More …
Mechanical Activation in Metallurgical Processing: Mechanisms, Applications and Industrial Perspectives
Antonio Clareti Pereira, Ph.D.* Department of Graduate Program in Materials Engineering Federal University of Ouro Preto (UFOP) Ouro Preto, MG, Brazil DOI: 10.5281/zenodo.18912251 Mechanical activation (MA) has emerged as an effective process-intensification strategy in metallurgical processing, modifying the structural and Read More …
Recovery and Recycling of Spent Ni–Mo–V Catalysts: Technologies, Environmental Drivers and Circular Economy Perspectives
Antonio Clareti Pereira, Ph.D.* Department of Graduate Program in Materials Engineering Federal University of Ouro Preto (UFOP) Ouro Preto, MG, Brazil DOI: 10.5281/zenodo.18838023 Spent nickel–molybdenum–vanadium (Ni–Mo–V) sulfide catalysts are widely used in hydrotreating, hydrodesulfurization and residue-upgrading units across the global Read More …
Plastic-Derived Syngas for Metallurgical Applications: Why It Is Not Industrially Viable Yet
Antonio Clareti Pereira* PhD in Chemical Engineering Federal University of Minas Gerais – UFMG, Department of Chemical Engineering Belo Horizonte – MG – Brazil DOI: 10.5281/zenodo.18739306 Plastic waste has been widely proposed as an alternative carbon source for syngas (CO–H₂) Read More …
Bending Modulus Evaluation of Nigerian Market High Density Fibre Board (HDF) Engineered Wood for Sustainable Economy
Chimaobi Chinedu Okoye, Chukwudi Paulinus Ilo* & Valentine Ifeanyi Ozono Department of Mechanical and Production Engineering, Enugu State University of Science and Technology, P.M.B. 01660, Enugu, Nigeria DOI: 10.5281/zenodo.18729870 This paper investigated the bending modulus of three widely used high Read More …
Protecting Privacy in the Digital World: A Multidimensional Analysis of Challenges, Frameworks, and Strategies
Mohammed Ahmed Abdullah Al-Anzi* Prince Sattam bin Abdulaziz University DOI: 10.5281/zenodo.18392452 This research paper provides a comprehensive examination of digital privacy protection in an era characterized by pervasive internet usage, rapid technological advancement, and escalating cyber threats. Employing a mixed-methods Read More …
Nigerian Market Medium Density Fibre Board (MDF) Engineered Wood Bending Modulus Appraisal for Viable Economic Development
Chimaobi Chinedu Okoye, Chukwudi Paulinus Ilo* & Nnaemeka S. P. Obuka Department of Mechanical and Production Engineering, Enugu State University of Science and Technology, P.M.B. 01660, Enugu, Nigeria DOI: 10.5281/zenodo.18388839 To make available to stakeholders the requisite technical knowledge to Read More …
The Caron Process for Nickel Laterites: A Critical Review of Recent Developments, Limitations, and Research Gaps
Antonio Clareti Pereira* PhD in Chemical Engineering, Federal University of Minas Gerais – UFMG, Department of Chemical Engineering Belo Horizonte – MG – Brazil DOI: 10.5281/zenodo.18369415 The Caron process is among the earliest hydrometallurgical technologies for processing nickel laterite, combining Read More …
Intrusion Detection System (IDS) on Amazon Web Services (AWS) Using Machine Learning
Mohammed Ahmed Abdullah Al-Anzi* Prince Sattam bin Abdulaziz University DOI: 10.5281/zenodo.18267556 Intrusion Detection Systems (IDS) are critical for maintaining security in cloud computing environments, where dynamic infrastructure and multi-tenancy present unique challenges. This research implements and evaluates a machine learning-based Read More …
