Projects per year
Personal profile
Personal Statement
I am passionate about Advanced Digital Manufacturing. My research aims to deliver new and exciting scientific insights as well as practical technological solutions that help industry and academia alike. Advanced Digital Manufacturing encompasses Industry 4.0 technology, Cyber Physical Systems (CPS), Industrial Internet of Things (IIoT) and utilises latest developments in Cloud Manufacturing and Big Data Analytics. My work around Design for Industry 4.0 and Digital Manufacturing is aiming to improve existing Manufacturing Systems to make them smarter, more autonomous and agile, cost efficient, better connected and well informed Through-Life. These efforts are supported by research into Additive Manufacturing, Data Analytics, Computational Intelligence and Visualisation. My national and international projects aim at high value industrial applications with impact.
Education/Academic qualification
Doctor of Engineering
Master of Computational Mathematics
External positions
Reader in Computational Manufacturing, Cranfield Univ
1 Jan 2007 → 31 Jan 2017Privatdozent, Dortmund University of Technology
2004 → 2006Keywords
- Industry 4.0
- High Value Manufacturing
- Through-Life Engineering
- Optimisation
- Additive Manufacturing
- Computational Intelligence
- Internet of Things
Fingerprint Dive into the research topics where Jorn Mehnen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 2 Similar Profiles
Inspection
Engineering & Materials Science
Machine tools
Engineering & Materials Science
Monitoring
Engineering & Materials Science
Industrial robots
Engineering & Materials Science
Machining
Engineering & Materials Science
Machinery
Engineering & Materials Science
Industry
Engineering & Materials Science
Evolutionary algorithms
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2007 2021
EPSRC HVM CATAPULT Fellowship Project BAUTA “A non-invasive remote maintenance tool for legacy CNC machine tools”
3/10/16 → 2/09/19
Project: Research Fellowship
EU H2020 CPSE Project LegInt “Integrating Legacy machines with the Internet“
20/04/16 → 20/05/17
Project: Research
Research Output 2009 2020
16
Citations
(Scopus)
296
Downloads
(Pure)
A novel defect depth measurement method based on nonlinear system identification for pulsed thermographic inspection
Zhao, Y., Mehnen, J., Sirikham, A. & Roy, R., 15 Feb 2017, In : Mechanical Systems and Signal Processing. 85, p. 382–395 14 p.Research output: Contribution to journal › Article
Open Access
File
Model structures
Nonlinear systems
Identification (control systems)
Inspection
Defects
25
Citations
(Scopus)
Multi-capacity combinatorial ordering GA in application to cloud resources allocation and efficient virtual machines consolidation
Hallawi, H., Mehnen, J. & He, H., 1 Apr 2017, In : Future Generation Computer Systems. 69, p. 1-10 10 p.Research output: Contribution to journal › Article
Open Access
Consolidation
Resource allocation
Genetic algorithms
Bins
Servers
Activities 2008 2020
EPSRC Peer Review College (External organisation)
Jorn Mehnen (Advisor)30 Jan 2020
Activity: Membership types › Membership of committee
Advanced Digital Manufacturing - Stage 2
Jorn Mehnen (Speaker)22 Jan 2020
Activity: Talk or presentation types › Invited talk