Tantrapiwat, Akapot

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Tantrapiwat, Akapot
Alternative Name
Tantrapiwat, A.
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Email
akapot.ta@kmitl.ac.th

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    Dynamic feed rate in multiple independent spindles cnc milling machine for orthotic insole manufacturing
    (2019-12-01)
    Watasuntonpong, Pongpun
    ;
    Pimsarn, Monsak
    ;
    Tantrapiwat, Akapot
    Diabetic foot ulceration can be prevented in case of the high plantar pressure being reduced and transmitted from ultimate stress point to the total area of plantar tissues. Custom-Made Insole (CMI) is one of the practical techniques to reduce ultimate stress on the patient’s foot. By employing the CAD/CAM technology, CMI for diabetic patients can be made fast and cost effective in comparison to the conventional method. In this research, there were two major improvements which made the CMI manufacture even faster and cheaper. First, a foot sole surface impression machine was developed to be compatible with the CMI configuration. The reusable foot sole impression machine can replace the traditional dispensable impression foam. An experiment was carried out to verify that pressure distribution on the impression surface was effective and comparable to the conventional method. The second improvement was the implementation of multiple independent spindles CNC system on the CMI cutting process. The configuration of multiple cutting tools and design cutting paths were investigated. In addition, the optimum cutting parameters were established using cutting force criteria. The relationship between cutting force and axial depth of cut was used to assign the feed rate. Because the feed rate which relates to the Z-direction can be varied among all spindles, two different techniques, fixed and dynamic feeds, were applied and compared. On average, the fixed feed technique can cut a pair of insole within 32 minutes, while dynamic feed can produce within 29 minutes. Overall both foot sole surface impression machine and multiple independent spindles CNC milling machine can cut down the production time to only 60% of the time used in typical CAD/CAM system, and 20.8% of the time used in conventional method.
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    A RUBBER TREE ORCHARD MAPPING METHOD VIA IMAGE PROCESSING
    (2022-08-01)
    Kunghun, Worawut
    ;
    Tantrapiwat, Akapot
    This research was carried out in order to evaluate the performance of a computer visual mapping method using permanent targets mounted on the tree trucks as the distinctive marks to the environment. Two targets per tree trunk were used to create sufficient target perception from a distance. The computer vision uses the known distance between these two targets to determine the location of the camera using pin-hole camera principle. The system was designed based on configurations of the rubber tree orchard which is one of the main industrial crops in South East Asia. A set of experiment was carried out on both laboratory and real plantation site. With different parameters and setup, the mapping system was able to achieve the RMS maximum error 43.06 mm in laboratory control environment and 114.57 mm in actual site. This magnitude of error was considered acceptable in low accuracy autonomous operation in automatic agricultural tasks such as watering, fertilization and harvest. Several aspects regarding parameters in the mapping method setup and the outcome were discussed and compared.
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    Multi-Objective Optimization of Lightweight Inboard Bearing Design for High-Speed Railway Axle
    (2024-06-03)
    Nwe, T.
    ;
    Tantrapiwat, A.
    ;
    Pimsarn, M.
    This research delves into the intricate balance between reducing axle weight and maintaining structural integrity in high-speed rail transportation. Focusing on the critical factor of weight reduction in high-speed axle design, the study employs finite element simulations and standard calculations to systematically explore inboard and outboard bearing wheelsets. Particularly noteworthy is the examination of inboard bearing axles, revealing advantages in mass reduction, deflection, and stress mitigation, with an 8% lower weight than outboard bearing axles. Utilizing multi-objective optimization, the research achieves a remarkable 4% reduction in mass and an associated 4% decrease in stress, resulting in a 12% mass reduction compared to traditional axles. The study also enhances fatigue resistance, demonstrated through radial fatigue reverse factor (FRF) analysis. With a detailed methodology involving ABAQUS modeling, Python scripting, and optimization using the Pointer algorithm in Isight, this research adeptly navigates the trade-off, significantly contributing to the advancement of railway transportation systems.