João Paulo Davim

Full Professor

Universidade de Aveiro

Portugal

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João Paulo Davim is a Full Professor at Universidade de Aveiro, Portugal. His research interests include optimization of manufacturing processes, advancements in material applications, and corporate governance related to climate transition. He has published recent articles focusing on metal casting processes, hole quality in machining, and the optimization of composite materials using innovative algorithms.

João Paulo Davim

Research Interests

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About

Articles (20)

Optimization of Different Metal Casting Processes Using Three Simple and Efficient Advanced Algorithms

Advancements in Hole Quality for AISI 1045 Steel Using Helical Milling

Titanium alloys for medical applications - A brief review

Single, Multi-, and Many-Objective Optimization of Manufacturing Processes Using Two Novel and Efficient Algorithms with Integrated Decision-Making

Multi-Objective Optimisation of Hybrid Banana/Sisal/Red Mud Composites Using Taguchi–Grey Relational Analysis

An experimental study for ductile mode control on cemented carbide micro-milling

An experimental study for ductile mode control on cemented carbide micro-milling

Corporate governance for climate transition

Differential equations: A bibliometric analysis

Numerical study addressing the CER effect on microscopic chip removal mechanisms of CFRPs via the orthogonal cutting

The Impact of Hole Diameter on the Molded and Drilled Holes in Jute-Fiber-Reinforced Epoxy Composites

The role of roughness parameters in grading the machined surface quality in Ti-alloys

Sustainability in the Modernization of Higher Education: Curricular Transformation and Sustainable Campus—A Literature Review

Digital representation of the wear behaviour of Ti-6Al-4V and Ti-6Al-7Nb biomaterial alloys: A fractal analysis of the worn surface

Development of the Al12SiCuFe Alloy Foam Composites with ZrSiO4 Reinforcements at Different Foaming Temperatures

Robot-Assisted Cold and Warm Incremental Sheet Forming of Aluminum Alloy 6061: A Comparative Study

A Comparative Study in Forming Behavior of Different Grades of Steel in Cold Forging Backward Extrusion by Integrating Artificial Neural Network (ANN) with Differential Evolution (DE) Algorithm

A Comparative Study in Forming Behavior of Different Grades of Steel in Cold Forging Backward Extrusion by Integrating Artificial Neural Network (ANN) with Differential Evolution (DE) Algorithm

A Comparative Assessment on Microstructure, Mechanical and Tribological Behaviour of Light Aluminium–Trialuminide Composites

A critical review on mechanical micro-drilling of glass and carbon fibre reinforced polymer (GFRP and CFRP) composites

Collaborators (3)

Carolina Machado

Norbert Geier

Peter Tamas-Benyei

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