Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Kristian Martinsen"'
Autor:
Akshar Kota, Venkata Reddy Nallagundla, Carla Susana A Assuad, Kristian Martinsen, Suryakumar Simhambhatla
Publikováno v:
Cleaner and Responsible Consumption, Vol 14, Iss , Pp 100205- (2024)
Energy consumption is an important metric used to evaluate the sustainability potential of manufacturing processes. Due to the low volume and mass customization potential, additive manufacturing (AM) processes have experienced exponential growth in r
Externí odkaz:
https://doaj.org/article/124b9996439344e4bd43b1950e49955d
Autor:
Tamal Ghosh, Kristian Martinsen
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 6, Pp 440-475 (2021)
Recently developed Beetle Antennae Search algorithm (BAS) mimics the odor sensing mechanism of the longhorn beetles. The beetles have many species and many of these are advantageous to the nature as well as the mankind. Excepting the odor sensing act
Externí odkaz:
https://doaj.org/article/53129578287d4d6c91469e8c0172d6dd
Autor:
Tamal Ghosh, Kristian Martinsen
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 23, Iss 3, Pp 650-663 (2020)
Contemporary manufacturing processes are substantially complex due to the involvement of a sizable number of correlated process variables. Uncovering the correlations among these variables would be the most demanding task in this scenario, which requ
Externí odkaz:
https://doaj.org/article/be38db8b721c4c529590badb46e06ef8
Autor:
Tamal Ghosh, Kristian Martinsen
Publikováno v:
Applied Artificial Intelligence, Vol 33, Iss 11, Pp 951-978 (2019)
Every production process consists of a large number of dependent and independent variables, which substantially influence the quality of the machined parts. Due to the large impact of process variabilities, it is difficult to design optimal models fo
Externí odkaz:
https://doaj.org/article/8333dbe21cd3467aa52f1a7408c3ffa4
Publikováno v:
PeerJ Computer Science, Vol 6, p e302 (2020)
Injection molding is a complicated process, and the final part quality depends on many machine and process parameters settings. To increase controllability of the injection molding process, acquisition of the process data is necessary. This paper des
Externí odkaz:
https://doaj.org/article/ff168ed0b2024452bde0008a5a0ef4db
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 125:3305-3327
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::808dcd74b5265c476ec0e687fddc5594
https://doi.org/10.1007/s00170-023-10948-7
https://doi.org/10.1007/s00170-023-10948-7
Publikováno v:
Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
This work presents an ecodesigning and operating performance improvement methodology in series-parallel Plugin hybrid electric vehicle (PHEV) in passenger car category, through optimisation of powertrain, considering gradeability overreaching rolling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6965a2ceba4afc9c22c1a1245ff9a643
https://doi.org/10.1177/09544070211027531
https://doi.org/10.1177/09544070211027531
Publikováno v:
Procedia CIRP
This paper describes architecture and development of an open application programming interface (API) prototype for injection molding machines (IMMs), useable for sensor and machine/process data logging and setting necessary process parameter values.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e36e2bae19da82e65e99f961f779036
https://doi.org/10.1016/j.procir.2020.07.005
https://doi.org/10.1016/j.procir.2020.07.005
Publikováno v:
The International Journal of Advanced Manufacturing Technology
Optimization of the end milling process is a combinatorial task due to the involvement of a large number of process variables and performance characteristics. Process-specific numerical models or mathematical functions are required for the evaluation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::212ff1d00e8d4d23d85c95c9eb13cd6e
https://doi.org/10.1007/s00170-020-06209-6
https://doi.org/10.1007/s00170-020-06209-6
Autor:
Kristian Martinsen, Tamal Ghosh
Publikováno v:
Engineering Science and Technology, an International Journal (JESTECH)
Engineering Science and Technology, an International Journal, Vol 23, Iss 3, Pp 650-663 (2020)
Engineering Science and Technology, an International Journal, Vol 23, Iss 3, Pp 650-663 (2020)
Contemporary manufacturing processes are substantially complex due to the involvement of a sizable number of correlated process variables. Uncovering the correlations among these variables would be the most demanding task in this scenario, which requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bf78e6cf088bd2a6aa0dee358bfa2da
https://doi.org/10.1016/j.jestch.2019.09.003
https://doi.org/10.1016/j.jestch.2019.09.003