dc.contributor.author | TOCA, Alexei | |
dc.contributor.author | STRONCEA, Aurel | |
dc.contributor.author | STÎNGACI, Ion | |
dc.contributor.author | RUȘICA, Ion | |
dc.date.accessioned | 2021-12-21T14:11:55Z | |
dc.date.available | 2021-12-21T14:11:55Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | TOCA, Alexei, STRONCEA, Aurel, STÎNGACI, Ion et al. The optimal dimensional design of machining technologies. In: 22nd International Conference on Innovative Manufacturing Engineering and Energy: proc. IManE&E 2018, 2018, Ar. N. 01005. | en_US |
dc.identifier.uri | https://doi.org/10.1051/matecconf/201817801005 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/18513 | |
dc.description | Access full text – https://doi.org/10.1051/matecconf/201817801005 | en_US |
dc.description.abstract | The paper discusses the design methodology of optimal technological processes of machining, bearing in mind that these processes are related to discrete processes. Discreteness is manifested at different levels: the process consists of a certain number of operations, the operation consists of a number of adjustments and the adjustment consists of a number of operation elements. Each of these levels is a dimensional object with its own internal dimensional structure. The links between dimensional levels are complex and the process is iterative with the ability to return to a higher level. | en_US |
dc.language.iso | en | en_US |
dc.publisher | EDP Sciences | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | machining | en_US |
dc.subject | bearings | en_US |
dc.subject | discreteness | en_US |
dc.title | The optimal dimensional design of machining technologies | en_US |
dc.type | Article | en_US |
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