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Implementation of capability matchmaking software facilitating faster production system design and reconfiguration planning
(2019-10)
- article
Smart manufacturing calls for rapidly responding production systems which help the manufacturing companies to operate efficiently in a highly dynamic environment. Currently, the system design and reconfiguration planning ...
Microstructure-property relationships of novel ultra-high strength press hardening steels
(2019)
- article
The industrial significance of microalloyed martensitic steels manufactured via cold rolling, reaustenitization, and quenching has been typically recognized as low. However, it is currently believed that microalloying can ...
Problematics of friction in a high-speed rubber-wheel wear test system: A case study of irregularly rough steel in water lubricated contact
(2018-08-15)
- article
A custom-made slurry-type high-speed rubber wheel wear testing system was modified for measuring friction. Friction behaviour of irregularly rough steel against CSM-rubber in water-lubricated contact at a velocity range ...
Influence of displacement amplitude on fretting-induced friction and wear of steel in oil-lubricated contact
(2024-05)
- article
Many fretting-prone contacts are surrounded by oils, although they are not intended to lubricate them. To study the fretting behavior of contacts whose edge is exposed to engine oil, self-mated 34CrNiMo6 +QT steel was ...
Autonomous Heavy-Duty Mobile Machinery : A Multidisciplinary Collaborative Challenge
(IEEE, 2021-11-05)
- conferenceObject
Heavy-duty mobile machines (HDMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortages, poor safety records, and harsh work ...
An approach for the bimanual manipulation of a deformable linear object using a dual-arm industrial robot : cable routing use case
(IEEE, 2022)
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The automation of processes that handle deformable materials is considered to be a complicated task. Due to their properties, these materials require specialised solutions for their manipulation, using robotic systems and ...
Improving Deep Learning Anomaly Diagnostics with a Physics-Based Simulation Model
(2024-01-17)
- article
Deep learning algorithms often struggle to accurately distinguish between healthy and anomalous states due to the scarcity of high-quality data in real-world applications. However, these data can be obtained through a ...