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Tegoeh Tjahjowidodo

Tegoeh Tjahjowidodo

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
5249
World Ranking
8110
National Ranking
99

Overview

Tegoeh Tjahjowidodo is affiliated with KU Leuven in Belgium and has conducted extensive research in the field of engineering, with a primary focus on mechanical engineering and its subfields. Their work encompasses advanced machining processes, surface polishing techniques, and additive manufacturing technologies, reflecting expertise in both fundamental and applied aspects of these areas.

The scientist's research spans several specialized topics, including:

  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • Advanced Battery Technologies Research
  • Advanced Measurement and Metrology Techniques
  • Optical measurement and interference techniques

With over 85 publications primarily in engineering, Tegoeh Tjahjowidodo's subfield contributions further highlight interests in:

  • Mechanical Engineering
  • Automotive Engineering
  • Biomedical Engineering
  • Computational Mechanics
  • Electrical and Electronic Engineering

Their work has appeared frequently in journals such as:

  • SSRN Electronic Journal
  • Journal of Manufacturing Processes
  • Virtual and Physical Prototyping
  • Journal of Intelligent Manufacturing
  • AIP conference proceedings

Among their recent publications are the following papers that reflect ongoing interests in manufacturing process modeling, additive manufacturing, and surface quality control:

  • Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review (2020, Journal of Manufacturing Processes)
  • Improving surface finish quality in extrusion-based 3D concrete printing using machine learning-based extrudate geometry control (2020, Virtual and Physical Prototyping)
  • Variable-geometry nozzle for surface quality enhancement in 3D concrete printing (2020, Additive Manufacturing)
  • Machinability of wire and arc additive manufactured components (2021, CIRP Journal of Manufacturing Science and Technology)
  • Modelling of Material Removal in Abrasive Belt Grinding Process: A Regression Approach (2020, Symmetry)

Frequently collaborating co-authors include Cheng Fang, Abhay Sharma, Qing Yu, Wenjie Chen, and Kang Tai, indicating a collaborative research network that supports interdisciplinary advancement in manufacturing and engineering sciences.

Best Publications

  • A survey on hysteresis modeling, identification and control

    Vahid Hassani;Tegoeh Tjahjowidodo;Thanh Nho Do

  • A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing

    Wahyu Caesarendra;Tegoeh Tjahjowidodo

  • A New Approach to Modeling Hysteresis in a Pneumatic Artificial Muscle Using The Maxwell-Slip Model

    Tri Vo-Minh;Tegoeh Tjahjowidodo;Herman Ramon;Hendrik Van Brussel

  • In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm

    Vigneashwara Pandiyan;Wahyu Caesarendra;Tegoeh Tjahjowidodo;Hock Hao Tan

  • Identification of pre-sliding and sliding friction dynamics: Grey box and black-box models

    K Worden;C Wong;U Parlitz;A Hornstein

  • Hysteresis modeling and position control of tendon-sheath mechanism in flexible endoscopic systems

    T.N. Do;T. Tjahjowidodo;M.W.S. Lau;T. Yamamoto

  • Friction characterization and compensation in electro-mechanical systems

    Tegoeh Tjahjowidodo;Farid Al-Bender;Hendrik Van Brussel;Wim Symens

  • Cascade position control of a single pneumatic artificial muscle-mass system with hysteresis compensation

    Tri Vo Minh;Tegoeh Tjahjowidodo;Herman Ramon;Hendrik Van Brussel

  • Theoretical modelling and experimental identification of nonlinear torsional behaviour in harmonic drives

    Tegoeh. Tjahjowidodo;F. Al-Bender;H. Van Brussel

  • Nonlinear friction modelling and compensation control of hysteresis phenomena for a pair of tendon-sheath actuated surgical robots

    T.N. Do;T. Tjahjowidodo;M.W.S. Lau;S.J. Phee

  • Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review

    Vigneashwara Pandiyan;Vigneashwara Pandiyan;Sergey Shevchik;Kilian Wasmer;Sylvie Castagne

  • Identification of pre-sliding friction dynamics.

    U. Parlitz;A. Hornstein;D. Engster;F. Al-Bender

  • Improving surface finish quality in extrusion-based 3D concrete printing using machine learning-based extrudate geometry control

    Wenxin Lao;Mingyang Li;Teck Neng Wong;Ming Jen Tan

  • An investigation of friction-based tendon sheath model appropriate for control purposes

    T. N. Do;Tegoeh Tjahjowidodo;Michael Wai Shing Lau;Soo Jay Phee

  • A new approach of friction model for tendon-sheath actuated surgical systems: Nonlinear modelling and parameter identification

    T. N. Do;Tegoeh Tjahjowidodo;Michael Wai Shing Lau;Soo Jay Phee

  • In-process virtual verification of weld seam removal in robotic abrasive belt grinding process using deep learning

    Vigneashwara Pandiyan;Pushparaja Murugan;Tegoeh Tjahjowidodo;Wahyu Caesarendra;Wahyu Caesarendra

  • Adaptive control for enhancing tracking performances of flexible tendon–sheath mechanism in natural orifice transluminal endoscopic surgery (NOTES)

    T.N. Do;T. Tjahjowidodo;M.W.S. Lau;S.J. Phee

  • FRICTION IDENTIFICATION AND COMPENSATION IN A DC MOTOR

    T. Tjahjowidodo;F. Al-Bender;H. Van Brussel

  • Variable-geometry nozzle for surface quality enhancement in 3D concrete printing

    Wenxin Lao;Mingyang Li;Tegoeh Tjahjowidodo

  • Predictive Modelling and Analysis of Process Parameters on Material Removal Characteristics in Abrasive Belt Grinding Process

    Vigneashwara Pandiyan;Wahyu Caesarendra;Tegoeh Tjahjowidodo;Gunasekaran Praveen

  • Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis

    Wahyu Caesarendra;Mahardhika Pratama;Buyung Kosasih;Tegoeh Tjahjowidodo

Frequent Co-Authors

Soo Jay Phee
Soo Jay Phee Nanyang Technological University
Mahardhika Pratama
Mahardhika Pratama University of South Australia
Herman Ramon
Herman Ramon KU Leuven
Narasimalu Srikanth
Narasimalu Srikanth Nanyang Technological University
Zhaowei Zhong
Zhaowei Zhong Nanyang Technological University
Adam Glowacz
Adam Glowacz AGH University of Science and Technology
Spilios D. Fassois
Spilios D. Fassois University of Patras
Ulrich Parlitz
Ulrich Parlitz Max Planck Institute for Dynamics and Self-Organization

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