RC
Robert Cep
VSB - Technical University of Ostrava
Research areas: Engineering · Industrial and Manufacturing Engineering · Advanced machining processes and optimization · Engineering Technology and Methodologies · Advanced Machining and Optimization Techniques
0000-0001-9610-4215
Employment
- 2003 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (378)
- Composition–Structure–Property Relationships in PLA-nHA-Mg Hybrid Biocomposites: Effect of Ceramic–Metallic Reinforcement Ratio on Mechanical and Physicochemical Performance Save
- Sustainable Polymer Additive Manufacturing Across Scales: A Critical Review of Pallet-Scale Structural Opportunities and Membrane Feed Spacers Save
- Erratum: “Optimization of sputtering parameters using MCDM techniques for synthesis of CoCrFeNi medium entropy alloy coatings” [AIP Advances 16, 025150 (2026)] Save
- Stability and strength of cold-formed c-shaped and z-shaped profiles: Analytical studies Save
- Mathematical Analysis of Predictive Maintenance Strategies for Enhanced Manufacturing Efficiency Save
- Machine Learning-Based Predictive Modelling of EDM and EAM-V Processes for Performance Analysis Save
- Optimization of sputtering parameters using MCDM techniques for synthesis of CoCrFeNi medium entropy alloy coatings Save
- Advanced Machine Learning Framework for Hole Quality Prediction and Optimization in Polycarbonate AWJD Save
- Comparative exploration among the traditional and modern fabrication processes for cost-effective method for aluminum metal matrix composites fabrication: A review Save
- Multi-objective optimization of wear parameters of hybrid composites (LM6/B4C/fly ash) using grey relational analysis Save
- Exploration of Physical Characteristics, Mechanical Strength, and Wear Resistance of Bronze Fiber-Reinforced Brake Pads Save
- Enhancement of Epoxy Composites with Benzoylated Fibres of Demostachya bipinnata (Darbha): Impact on Mechanical Properties Save
- Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy Save
- In-situ analysis on drop in thermal performance of wind turbine gearbox system: global challenges and sustainable ideas Save
- Effect of elevated temperature on wear performance of laser powder bed fusion fabricated SS316L Save
- Synergetic effect of TiC particles on cavitation erosion resistance of AZ31-TiC surface composites Save
- Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data Save
- A HYBRID GP-GWO FRAMEWORK FOR ENHANCED PERFORMANCE OF ROTARY DRYING SYSTEMS Save
- A novel hole performance index to evaluate the hole geometry and drilling time in the electrochemical drilling process Save
- A novel predictive model for abrasive waterjet deep hole drilling on AL7075 T6 using machine learning and evolutionary algorithmic approach Save