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contributor authorDancholvichit, Nattasit
contributor authorKapoor, Shiv
date accessioned2022-02-04T14:28:42Z
date available2022-02-04T14:28:42Z
date copyright2020/04/17/
date issued2020
identifier issn2166-0468
identifier otherjmnm_008_02_024512.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273734
description abstractTemperature control is critical in manufacturing of the multifacet bulk metallic glass (BMG) knife edge. The temperature control in thermoplastic forming process could make a significant effect on the type of deformation, which ultimately results in the final blade edge shape. The controller selection is based on the knowledge of the model from system identification, the performance of the controllers, and the feasibility of the implementation to the testbed. In this study, temperature control, using fuzzy logic, is implemented along with auto-regressive exogenous, ARX model, which can maintain the steady-state temperature within the range of ±2.5 K. With this proposed controller, experiments have shown similar or better results of multifacet blade geometries than those manufactured using proportional–integral–derivative (PID) controller. The blade edge samples are successfully manufactured with the average straightness and the edge radius of the blade of 3.66 ± 0.5 μm and 25.7 ± 6 nm, respectively.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Auto-Regressive Exogenous-Based Temperature Controller for a Hybrid Thermoplastic Microforming of Surgical Blades From Bulk Metallic Glass
typeJournal Paper
journal volume8
journal issue2
journal titleJournal of Micro and Nano-Manufacturing
identifier doi10.1115/1.4046727
page24512
treeJournal of Micro and Nano-Manufacturing:;2020:;volume( 008 ):;issue: 002
contenttypeFulltext


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