Oleg Anokhin

Oleg Anokhin, M.Sc.

+49 6151 16-21843
+49 6151 16-21793

Otto-Berndt-Straße 2
64287 Darmstadt

Office: L1|01 4

More information

Oleg Anokhin studied Mechanical and Process Engineering at Technische Universität Darmstadt up until 2013. In the course of his master studies he also studied at Universidad Politécnica de Madrid. His master's thesis involved the development of an algorithm based concept for the reconstruction of geometric shapes from point clouds in Siemens NX.

In March 2014 Oleg Anokhin joined the Department of Computer Integrated Design (DiK) as a research associate.

Teaching

Since the winter semester 2014/15 Mr. Anokhin supervises the lecture “Virtual Product Development A” in the master's program. This lecture deals with the basics of the modern product data technology as well as with several important CAx process chains.

Since the winter semester 2015/16 he supervises the tutorial Advanced CAx with CATIA V6.

Research

Efficient Factory 4.0

Mr. Anokhin is also a part of the implementation project “Efficient Factory 4.0”. The “Efficient Factory 4.0” is a research project, which was approved by the Hessian Ministry of Economics, Energy, Transport and Regional Development. The Project is financed by the European Regional Development Fund (ERDF), represented by the WiBank, within the framework of the operational program for promotion of regional competitiveness and employment in Hesse.

The aim of the project is the analysis, development and implementation of Industrie 4.0 technologies for building a progressive resource-efficient learning factory. As the first part of the research project, the Good-Practice examples from German companies are identified, analyzed and evaluated. Subsequently, the selected processes will be considered for applicability to the existing Learning Factory, as well as concepts for implementation will be developed. Some important factors at this point are the level of networking of the possible future technologies, allocation within the life cycle and consideration of the type of company. By doing so the “Efficient Factory 4.0” aims to illustrate the potential of Industrie 4.0 to all interest groups. The “Efficient Factory 4.0” should demonstrate the possible extensions of an existing production environment in order for the user to be fit for the resource-effective and efficient production of tomorrow.

Supervised Theses

  • Visualization Concept for “Effiziente Fabrik 4.0” (Bachelor-Thesis) – 10.2015
  • Potential Applications of Augmented Reality in Development, Production and Dental Technology (Advanced Research Project) – 11.2015
  • Development of a Concept for Bi-Directional Exchange of Data between Engineering and Production within the Scope of Industrie 4.0 (Masterthesis) – 12.2016
  • Development of a Concept to Systematically Enhance Existing Products by Cyber-Physical Components (Masterthesis) – 12.2016
  • Structural Modeling and Behavioral Simulation of Cyber-Physical Systems (Advanced Design Project) – 02.2017
  • Conception of a Generic Method for Systematic Mapping of Business Processes (Masterthesis) – 03.2017
  • Conception of a Data Model for the Integration of Non-Geometric Product Information and 3D Product Models (Masterthesis) – 03.2017
  • Design of a System for the Investigation of Component-Identification (Advanced Design Project) – 10.2017
  • Design of a System for Dynamic Route Planning Considering Variable Boundary Conditions (Studienarbeit) – 01.2018
  • Analysis, Testing and Programming of Game-Engines in order to transfer 3D CAD Models into the Mixed Reality of Microsoft HoloLens (Advanced Design Project) – 01.2018
  • Examination of the Functionalities and Potentials of Siemens NX 11 for Assembly Support (Bachelorthesis) – 03.2018
  • Design of a Process Chain to Transfer 3D CAD Models into the Mixed Reality of Microsoft HoloLens (Bachelorthesis) – 03.2018
  • XR in Product Creation (Advanced Research Project) – 04.2018
  • Development and Implementation of a Testbed for a CNC Laser Plotter Control (Advanced Design Project) – 07.2018

Publications

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Anzahl der Einträge: 7.

2018

Anokhin, Oleg ; Anderl, Reiner
Karwowski, Waldemar ; Trzcielinski, Stefan ; Mrugalska, Beata ; Di Nicolantonio, Massimo ; Rossi, Emilio (Hrsg.) (2018):
Direct Control of 3D Models Through User Input to Simulate the Behavior of Mechatronic Systems.
In: Advances in manufacturing, production management and process control, Springer, S. 224-230, DOI: 10.1007/978-3-319-94196-7_ 21,
[Buchkapitel]

2017

Anderl, Reiner ; Anokhin, Oleg ; Galaske, Nadia ; Kugler, Stefan ; Wang, Gong (2017):
Entwicklung individueller Geschäftsmodelle im Zeitalter der Digitalisierung.
In: Wissenschaft trifft Praxis, Mittelstand-Digital, S. 91-98, (8), ISSN 2198-8544,
[Online-Edition: http://www.mittelstand-digital.de/MD/Redaktion/DE/PDF/wissen...],
[Artikel]

Wang, Yübo ; Anokhin, Oleg ; Anderl, Reiner (2017):
Concept and Use Case driven Approach for Mapping IT Security requirements on System Assets and Processes in Industrie 4.0.
In: Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems, S. 207-212, [Online-Edition: https://doi.org/10.1016/j.procir.2017.03.142],
[Buchkapitel]

2016

Anderl, Reiner ; Arndt, Alexander ; Anokhin, Oleg
Sendler, Ulrich (Hrsg.) (2016):
Effiziente Fabrik 4.0 Darmstadt – Industrie 4.0 Implementierung für die mittelständige Industrie.
In: Industrie 4.0 grenzenlos, Berlin Heidelberg, Springer Vieweg, S. 121-136, [Buchkapitel]

Wank, Andreas ; Adolph, Siri ; Anokhin, Oleg ; Arndt, Alexander ; Anderl, Reiner ; Metternich, Joachim (2016):
Using a Learning Factory Approach to Transfer Industrie 4.0 Approaches to Small- and Medium-sized Enterprises.
In: Procedia CIRP, 6th CIRP Conference on Learning Factories, Elsevier B.V., S. 89-94, 54, ISSN 2212-8271,
[Online-Edition: http://dx.doi.org/10.1016/j.procir.2016.05.068],
[Artikel]

Adolph, Siri ; Wank, Andreas ; Anokhin, Oleg ; Arndt, Alexander ; Anderl, Reiner ; Metternich, Joachim (2016):
Demonstration Scenarios for "Indutrie 4.0" in learning factories – an action-oriented approach for transfering.
In: The Learning Factories – Vol. 2, Network of Innovative Learning Factories (NIL), Reutlingen., S. 5-12, [Artikel]

2015

Abele, Eberhard ; Anderl, Reiner ; Metternich, Joachim ; Wank, Andreas ; Anokhin, Oleg ; Arndt, Alexander ; Meudt, Tobias ; Sauer, Markus (2015):
Effiziente Fabrik 4.0 - Einzug von Industrie 4.0 in bestehende Produktionssysteme.
In: ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag, S. 150-153, (03/2015), ISSN 0932-0482,
[Online-Edition: http://www.zwf-online.de/ZW111293],
[Artikel]

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