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Toplam kayıt 6, listelenen: 1-6
Modelling and simulation studies on adaptive controller for alt-azimuth telescopes despite unknown wind disturbance and mass
(SAGE Publications, 2020-09-15)
Numerous ground-based observatories are using small sized ground telescopes for scientific research purposes. The telescopes that are available on the market have three main problems. These issues can be listed as: positioning ...
A thermo-mechanical model of drill margin-borehole surface interface contact conditions in dry drilling of thick CFRP laminates
(Elsevier Ltd, 2020-04-23)
Dry drilling of thick carbon fiber reinforced polymer (CFRP) laminates requires careful selection of process parameters in order to obtain acceptable borehole surface quality. Complex contact conditions between the drill ...
Experimental analysis on drilling of Al/Ti/CFRP hybrid composites
(Bellwether Publishing, 2021-01-25)
Carbon fiber reinforced composites (CFRP) have superior mechanical properties such as high strength/density ratio, and good damping ability. CFRP which is frequently used in parts in the aviation industry can also be single ...
Transient multi-domain thermal modeling of interrupted cutting with coated tools
(Springer Science and Business Media Deutschland GmbH, 2021-09)
Interrupted cutting operations, such as milling, produce fluctuating tool temperatures which directly affect the process outputs. Thus, prediction of cutting tool temperatures enables process planning, selection of materials ...
Effect of scanning strategies and laser parameters on metal-composite joining
(Bellwether Publishing, 2021-07-27)
This study presents an investigation on the effectiveness, automation characteristics, and mechanics of joints between different material types namely glass ?ber reinforced plastics (GFRPs) and SS304 stainless steel using ...
A cooperative neural network control structure and its application for systems having dead-zone nonlinearities
(Springer International Publishing Ag, 2022-03)
An adaptive control structure utilizing two feed-forward neural networks (NN) is proposed to deal with systems having unknown nonlinearities. One of the networks is trained to mimic the nonlinear system dynamics. Its ...