Agathoklis A. Krimpenis

ORCID: 0000-0003-2567-4741
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About
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Research Areas
  • Manufacturing Process and Optimization
  • Advanced machining processes and optimization
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced Numerical Analysis Techniques
  • Advanced Measurement and Metrology Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Machining and Optimization Techniques
  • Injection Molding Process and Properties
  • Advanced Surface Polishing Techniques
  • Metaheuristic Optimization Algorithms Research
  • Additive Manufacturing Materials and Processes
  • Evolutionary Algorithms and Applications
  • Innovations in Concrete and Construction Materials
  • 3D Printing in Biomedical Research
  • Engineering Technology and Methodologies
  • Tribology and Lubrication Engineering
  • Neural Networks and Applications
  • Robotic Mechanisms and Dynamics
  • Anatomy and Medical Technology

Hellenic Mediterranean University
2024-2025

National and Kapodistrian University of Athens
2020-2023

School of Pedagogical and Technological Education
2012-2017

Technological Educational Institute of Central Greece
2014-2017

National Technical University of Athens
2002-2012

The evolution of 3D printing has ushered in accessibility and cost-effectiveness, spanning various industries including biomedical engineering, education, microfluidics. In it encompasses bioprinting tissues, producing prosthetics, porous metal orthopedic implants, facilitating educational models. Hybrid Additive Manufacturing approaches and, more specifically, the integration Fused Deposition Modeling (FDM) with bio-inkjet offers advantages improved accuracy, structural support, controlled...

10.3390/designs8030051 article EN cc-by Designs 2024-05-28

Optimization algorithms for solving technological and scientific problems often face long convergence times high computational costs due to numerous input/output parameters complex calculations. This study focuses on proposing a method minimizing response such across various fields, including the design manufacturing of high-performance, high-quality components. It introduces an innovative mixed-scheme optimization algorithm aimed at effective with minimal objective function evaluations....

10.3390/computers14030097 article EN cc-by Computers 2025-03-08

This study aims at the parametric design, manufacturing and assembly of a low cost 6-axis 3D printed robotic arm, HydraX, which enables combination Additive Subtractive Manufacturing processes on single machine tool, through proper control efficient movement programming. The robot was custom designed manufactured by domestic printer with PETG, so as to serve both functional properties aesthetics. printing parameters were carefully chosen for adequate part stiffness integrity. HydraX...

10.1016/j.promfg.2020.10.016 article EN Procedia Manufacturing 2020-01-01

10.1007/s00170-003-1881-x article EN The International Journal of Advanced Manufacturing Technology 2004-10-26

Hybrid Manufacturing technologies enable the manufacturability and high manufacturing efficiency of innovative part designs comprising complexity features which could not otherwise be manufactured in a single or small number steps. This study proposes design an industrial-grade low-cost fully automated multi-axis hybrid Additive Subtractive CNC machine for non-metallic parts. It combines operations six-axis machining center with extrusion 3D printer tool head change processing parts made...

10.3390/machines11060637 article EN cc-by Machines 2023-06-08

This part of the study focuses on programming, control and calibration aspects HydraX, a low cost 6-axis 3D printed robotic arm that performs both Additive Subtractive Manufacturing. G-code was implemented as programming language for after proper process CAM modeling code extraction. software post-processor developed Finite-State Machine (FSM), so NC output files are automatically adjusted, when input variable values change. Arduino Mega microcontroller has been connected in parallel to...

10.1016/j.promfg.2020.10.017 article EN Procedia Manufacturing 2020-01-01

Main focus of this paper is to introduce an appropriate methodology and create a Genetic Algorithm that optimizes wood milling operations, since one the primary materials used in both structures musical instruments building. Mechanical properties were considered cutting process modeling on CAM software as far machining parameter values are concerned. Key parameters explained along with their effect final product. The proposed was specifically built for applications its operators examined...

10.1080/17480272.2014.961959 article EN Wood Material Science and Engineering 2014-10-16

This study proposes a systematic approach for modelling and three-axis CNC milling of solid wood parts used in stringed electric musical instruments, mainly guitars basses, through CAD/CAM technology. Design manufacturing philosophy undertakes particular characteristics tonal woods, so as to produce high-quality resonant instrument with high accuracy. To do so, it is crucial identify design features apply the appropriate machining strategies parameter values based on obtained knowledge,...

10.1080/17480272.2017.1379035 article EN Wood Material Science and Engineering 2017-09-22

A systematic and detailed approach in design manufacturing of blow molds for bottles made PET PP plastic material with CAD/CAM software tools is presented, as many production errors product deficiencies stem from inaccurate imprecise tooling. Apart high mold accuracy, proper planning also includes the minimization machining costs, which mainly derives CNC time cutting tool wear. Blow revolves around two major axes: (a) (b) parameter values. The former critical terms rates life-cycle latter...

10.4028/www.scientific.net/ssp.261.448 article EN Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena 2017-08-01

10.1007/s00170-008-1767-z article EN The International Journal of Advanced Manufacturing Technology 2008-09-30
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