Thanatkij Srichok
Ubon Ratchathani University
26 Papers
26 Citations
Thanatkij Srichok is an academic researcher from Ubon Ratchathani University. The author has contributed to research in topics: Computer science & Welding. The author has an hindex of 1, co-authored 4 publications.
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Papers
Combined Response Surface Method and Modified Differential Evolution for Parameter Optimization of Friction Stir Welding
Thanatkij Srichok,Rapeepan Pitakaso,Kanchana Sethanan,Worapot Sirirak,Parama Kwangmuang +4 more
- 01 Sep 2020
TL;DR: In this paper, a modified differential evolution algorithm (RSM-MDE) was proposed to determine the optimal parameters for friction stir welding including rotational speed, welding speed, axial force, tool pin profile, and tool material.
25
Ensemble Deep Learning Ultimate Tensile Strength Classification Model for Weld Seam of Asymmetric Friction Stir Welding
Somphop Chiaranai,Rapeepan Pitakaso,Kanchana Sethanan,Monika Kosacka-Olejnik,Thanatkij Srichok,Peerawat Chokanat +5 more
TL;DR: In this paper , an ensemble deep learning model was developed to classify the ultimate tensile strength (UTS) of the FSW weld seam, which is one of the most common objectives of welding, especially friction stir welding (FSW).
Multi-Objective Modified Differential Evolution Methods for the Optimal Parameters of Aluminum Friction Stir Welding Processes of AA6061-T6 and AA5083-H112
Peerawat Luesak,Rapeepan Pitakaso,Kanchana Sethanan,Paulina Golinska-Dawson,Thanatkij Srichok,Peerawat Chokanat +5 more
TL;DR: In this paper , a modified differential evolution approach (MoDE) was introduced for evaluating the optimal objective and parameter values of the friction stir welding (FSW) process of dissimilar materials: AA5083 and AA6061.
12
Variable Neighborhood Strategy Adaptive Search for Optimal Parameters of SSM-ADC 12 Aluminum Friction Stir Welding
Suppachai Chainarong,Thanatkij Srichok,Rapeepan Pitakaso,Worapot Sirirak,Surajet Khonjun,Raknoi Akararungruangku +5 more
- 11 Oct 2021
TL;DR: In this paper, a variable neighborhood strategy adaptive search (VaNSAS) approach was proposed to find the optimal friction stir welding parameters to maximize the tensile strength of a butt joint made of the semisolid material (SSM) ADC 12 aluminum.
9
Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classification
Kanchana Sethanan,Rapeepan Pitakaso,Thanatkij Srichok,Surajet Khonjun,N. Weerayuth,Chutinun Prasitpuriprecha,Thanawadee Preeprem,Sirima Suvarnakuta Jantama,Sarayut Gonwirat,Prem Enkvetchakul,Chutchai Kaewta,Natthapong Nanthasamroeng +11 more
TL;DR: In this paper , the TB-DRD-CXR web application was developed and tested with 33 medical staff, and the computational results showed a high accuracy rate of 96.7%, time-based efficiency (ET) of 4.16 goals/minutes, and an overall relative efficiency (ORE) of 100%.