BibBase aengchuan, p

2023 (5)

Artificial Intelligence Predictions Effect of Loading Rate, Crack Width and Crack Length Ratio on Mode I Fracture Toughness of PMMA. Wiangkham, A.; Aengchuan, P.; and Ariyarit, A. Engineering Innovations, 4: 15–20. 2023.
link bibtex

@article{wiangkham2023artificial,
  title={Artificial Intelligence Predictions Effect of Loading Rate, Crack Width and Crack Length Ratio on Mode I Fracture Toughness of PMMA},
  author={Wiangkham, Attasit and Aengchuan, Prasert and Ariyarit, Atthaphon},
  journal={Engineering Innovations},
  volume={4},
  pages={15--20},
  year={2023},
  publisher={Trans Tech Publ}
}

Effects of Alcohol-Blended Waste Plastic Oil on Engine Performance Characteristics and Emissions of a Diesel Engine. Kaewbuddee, C.; Maithomklang, S.; Aengchuan, P.; Wiangkham, A.; Klinkaew, N.; Ariyarit, A.; and Sukjit, E. Energies, 16(3): 1281. 2023.
link bibtex

@article{kaewbuddee2023effects,
  title={Effects of Alcohol-Blended Waste Plastic Oil on Engine Performance Characteristics and Emissions of a Diesel Engine},
  author={Kaewbuddee, Chalita and Maithomklang, Somkiat and Aengchuan, Prasert and Wiangkham, Attasit and Klinkaew, Niti and Ariyarit, Atthaphon and Sukjit, Ekarong},
  journal={Energies},
  volume={16},
  number={3},
  pages={1281},
  year={2023},
  publisher={MDPI}
}

Utilisation of low-reactivity fly ash for fabricating geopolymer materials. Poowancum, A.; and Aengchuan, P. Advances in Cement Research, 35(4): 144–151. 2023.
link bibtex

@article{poowancum2023utilisation,
  title={Utilisation of low-reactivity fly ash for fabricating geopolymer materials},
  author={Poowancum, Anurat and Aengchuan, Prasert},
  journal={Advances in Cement Research},
  volume={35},
  number={4},
  pages={144--151},
  year={2023},
  publisher={Thomas Telford Ltd}
}

Experimental and optimization study on the effects of diethyl ether addition to waste plastic oil on diesel engine characteristics. Wiangkham, A.; Klinkaew, N.; Aengchuan, P.; Liplap, P.; Ariyarit, A.; and Sukjit, E. RSC advances, 13(36): 25464–25482. 2023.
link bibtex

@article{wiangkham2023experimental,
  title={Experimental and optimization study on the effects of diethyl ether addition to waste plastic oil on diesel engine characteristics},
  author={Wiangkham, Attasit and Klinkaew, Niti and Aengchuan, Prasert and Liplap, Pansa and Ariyarit, Atthaphon and Sukjit, Ekarong},
  journal={RSC advances},
  volume={13},
  number={36},
  pages={25464--25482},
  year={2023},
  publisher={Royal Society of Chemistry}
}

Multi-fidelity model using GRNN and ANFIS algorithms-based fracture criterion for predicting mixed-mode I-II of sugarcane leaves/epoxy composite. Wiangkham, A.; Ariyarit, A.; Timtong, A.; and Aengchuan, P. Theoretical and Applied Fracture Mechanics, 125: 103892. 2023.
link bibtex

@article{wiangkham2023multi,
  title={Multi-fidelity model using GRNN and ANFIS algorithms-based fracture criterion for predicting mixed-mode I-II of sugarcane leaves/epoxy composite},
  author={Wiangkham, Attasit and Ariyarit, Atthaphon and Timtong, Anantaya and Aengchuan, Prasert},
  journal={Theoretical and Applied Fracture Mechanics},
  volume={125},
  pages={103892},
  year={2023},
  publisher={Elsevier}
}

2022 (5)

The Study Influence of Sugarcane Leaves Fibers Ratio on Compressive Strength of Fire Clay Bricks. Poophanchit, A.; and Aengchuan, P. In Materials Science Forum, volume 1053, pages 383–388, 2022. Trans Tech Publ
link bibtex

@inproceedings{poophanchit2022study,
  title={The Study Influence of Sugarcane Leaves Fibers Ratio on Compressive Strength of Fire Clay Bricks},
  author={Poophanchit, Auttachoke and Aengchuan, Prasert},
  booktitle={Materials Science Forum},
  volume={1053},
  pages={383--388},
  year={2022},
  organization={Trans Tech Publ}
}

Prediction of the influence of castor oil–ethanol–diesel blends on single-cylinder diesel engine characteristics using generalized regression neural networks (GRNNs). Aengchuan, P.; Wiangkham, A.; Klinkaew, N.; Theinnoi, K.; and Sukjit, E. Energy Reports, 8: 38–47. 2022.
link bibtex

@article{aengchuan2022prediction,
  title={Prediction of the influence of castor oil--ethanol--diesel blends on single-cylinder diesel engine characteristics using generalized regression neural networks (GRNNs)},
  author={Aengchuan, Prasert and Wiangkham, Attasit and Klinkaew, Niti and Theinnoi, Kampanart and Sukjit, Ekarong},
  journal={Energy Reports},
  volume={8},
  pages={38--47},
  year={2022},
  publisher={Elsevier}
}

Structural evaluation of ZnO substitution for CaO in glass ionomer cement synthesized by sol-gel method and their properties. Thongsri, O.; Srisuwan, S.; Thaitalay, P.; Dangwiriyakul, R.; Aengchuan, P.; Chanlek, N.; Kidkhunthod, P.; Talabnin, C.; Suksaweang, S.; and Rattanachan, S. T. Journal of Materials Science,1–18. 2022.
link bibtex

@article{thongsri2022structural,
  title={Structural evaluation of ZnO substitution for CaO in glass ionomer cement synthesized by sol-gel method and their properties},
  author={Thongsri, Oranich and Srisuwan, Sawitri and Thaitalay, Paritat and Dangwiriyakul, Rawee and Aengchuan, Prasert and Chanlek, Narong and Kidkhunthod, Pinit and Talabnin, Chutima and Suksaweang, Sanong and Rattanachan, Sirirat Tubsungnoen},
  journal={Journal of Materials Science},
  pages={1--18},
  year={2022},
  publisher={Springer}
}

Improvement of Mixed-Mode I/II Fracture Toughness Modeling Prediction Performance by Using a Multi-Fidelity Surrogate Model Based on Fracture Criteria. Wiangkham, A.; Aengchuan, P.; Kasemsri, R.; Pichitkul, A.; Tantrairatn, S.; and Ariyarit, A. Materials, 15(23): 8580. 2022.
link bibtex

@article{wiangkham2022improvement,
  title={Improvement of Mixed-Mode I/II Fracture Toughness Modeling Prediction Performance by Using a Multi-Fidelity Surrogate Model Based on Fracture Criteria},
  author={Wiangkham, Attasit and Aengchuan, Prasert and Kasemsri, Rattanaporn and Pichitkul, Auraluck and Tantrairatn, Suradet and Ariyarit, Atthaphon},
  journal={Materials},
  volume={15},
  number={23},
  pages={8580},
  year={2022},
  publisher={MDPI}
}

Prediction of the influence of loading rate and sugarcane leaves concentration on fracture toughness of sugarcane leaves and epoxy composite using artificial intelligence. Wiangkham, A.; Ariyarit, A.; and Aengchuan, P. Theoretical and Applied Fracture Mechanics, 117: 103188. 2022.
link bibtex

@article{wiangkham2022prediction,
  title={Prediction of the influence of loading rate and sugarcane leaves concentration on fracture toughness of sugarcane leaves and epoxy composite using artificial intelligence},
  author={Wiangkham, Attasit and Ariyarit, Atthaphon and Aengchuan, Prasert},
  journal={Theoretical and Applied Fracture Mechanics},
  volume={117},
  pages={103188},
  year={2022},
  publisher={Elsevier}
}

2021 (3)

Influence of Al 2 O 3 and P 2 O 5 contents in sol-gel ionomer glass system on the structure and their cement properties. Thongsri, O.; Srisuwan, S.; Thaitalay, P.; Dangwiriyakul, R.; Aengchuan, P.; Chanlek, N.; Talabnin, C.; Suksaweang, S.; and Rattanachan, S. T. Journal of Sol-Gel Science and Technology, 98: 441–451. 2021.
link bibtex

@article{thongsri2021influence,
  title={Influence of Al 2 O 3 and P 2 O 5 contents in sol-gel ionomer glass system on the structure and their cement properties},
  author={Thongsri, Oranich and Srisuwan, Sawitri and Thaitalay, Paritat and Dangwiriyakul, Rawee and Aengchuan, Prasert and Chanlek, Narong and Talabnin, Chutima and Suksaweang, Sanong and Rattanachan, Sirirat Tubsungnoen},
  journal={Journal of Sol-Gel Science and Technology},
  volume={98},
  pages={441--451},
  year={2021},
  publisher={Springer}
}

Effects of surface roughness and alloying element on surface morphology and tribology of low-alloy steel after gas-nitrocarburizing. Polyiam, N.; Aengchuan, P.; Taweejun, N.; and Poapongsakorn, P. Songklanakarin Journal of Science & Technology, 43(4). 2021.
link bibtex

@article{polyiam2021effects,
  title={Effects of surface roughness and alloying element on surface morphology and tribology of low-alloy steel after gas-nitrocarburizing.},
  author={Polyiam, Naruenat and Aengchuan, Prasert and Taweejun, Nipon and Poapongsakorn, Piyamon},
  journal={Songklanakarin Journal of Science \& Technology},
  volume={43},
  number={4},
  year={2021}
}

Prediction of the mixed mode I/II fracture toughness of PMMA by an artificial intelligence approach. Wiangkham, A.; Ariyarit, A.; and Aengchuan, P. Theoretical and Applied Fracture Mechanics, 112: 102910. 2021.
link bibtex

@article{wiangkham2021prediction,
  title={Prediction of the mixed mode I/II fracture toughness of PMMA by an artificial intelligence approach},
  author={Wiangkham, Attasit and Ariyarit, Atthaphon and Aengchuan, Prasert},
  journal={Theoretical and Applied Fracture Mechanics},
  volume={112},
  pages={102910},
  year={2021},
  publisher={Elsevier}
}

2020 (1)

Time-dependent fracture of epoxy resin under mixed-mode I/III loading. Poapongsakorn, P.; Wiangkham, A.; Aengchuan, P.; Noraphaiphipaksa, N.; and Kanchanomai, C. Theoretical and Applied Fracture Mechanics, 106: 102445. 2020.
link bibtex

@article{poapongsakorn2020time,
  title={Time-dependent fracture of epoxy resin under mixed-mode I/III loading},
  author={Poapongsakorn, Piyamon and Wiangkham, Attasit and Aengchuan, Prasert and Noraphaiphipaksa, Nitikorn and Kanchanomai, Chaosuan},
  journal={Theoretical and Applied Fracture Mechanics},
  volume={106},
  pages={102445},
  year={2020},
  publisher={Elsevier}
}

2019 (2)

Design of experiment of geopolymer from metakaolin blended with fly ash. Siriphongphanh, V.; Aengchuan, P.; and Poowancum, A. Suranaree J. Sci. Technol, 26(3): 278–283. 2019.
link bibtex

@article{siriphongphanh2019design,
  title={Design of experiment of geopolymer from metakaolin blended with fly ash},
  author={Siriphongphanh, Vanhnaphet and Aengchuan, Prasert and Poowancum, Anurat},
  journal={Suranaree J. Sci. Technol},
  volume={26},
  number={3},
  pages={278--283},
  year={2019}
}

FAHP in Multi-Criteria Inventory Classification for Storage Layout. Nitkratoke, S.; and Aengchuan, P. In International Conference on Advanced Research in Applied Science and Engineering, 2019.
link bibtex

@inproceedings{nitkratoke2019fahp,
  title={FAHP in Multi-Criteria Inventory Classification for Storage Layout},
  author={Nitkratoke, Sirarat and Aengchuan, Prasert},
  booktitle={International Conference on Advanced Research in Applied Science and Engineering},
  year={2019}
}

2018 (1)

Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS+ ANN) and FIS with adaptive neuro-fuzzy inference system (FIS+ ANFIS) for inventory control. Aengchuan, P.; and Phruksaphanrat, B. Journal of Intelligent Manufacturing, 29: 905–923. 2018.
link bibtex

@article{aengchuan2018comparison,
  title={Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS+ ANN) and FIS with adaptive neuro-fuzzy inference system (FIS+ ANFIS) for inventory control},
  author={Aengchuan, Prasert and Phruksaphanrat, Busaba},
  journal={Journal of Intelligent Manufacturing},
  volume={29},
  pages={905--923},
  year={2018},
  publisher={Springer}
}

2017 (1)

A comparative study of design of experiments and fuzzy inference system for plaster process control. Aengchuan, P; and Phruksaphanrat, B In Proceedings of the World Congress on Engineering, volume 1, 2017.
link bibtex

@inproceedings{aengchuan2017comparative,
  title={A comparative study of design of experiments and fuzzy inference system for plaster process control},
  author={Aengchuan, P and Phruksaphanrat, B},
  booktitle={Proceedings of the World Congress on Engineering},
  volume={1},
  year={2017}
}

2013 (1)

Inventory system design by fuzzy logic control: A case study. Aengchuan, P.; and Phruksaphanrat, B. Advanced materials research, 811: 619–624. 2013.
link bibtex

@article{aengchuan2013inventory,
  title={Inventory system design by fuzzy logic control: A case study},
  author={Aengchuan, Prasert and Phruksaphanrat, Busaba},
  journal={Advanced materials research},
  volume={811},
  pages={619--624},
  year={2013},
  publisher={Trans Tech Publ}
}

undefined (2)

The Multi-Objective Optimization of Material Properties of 3d Print Onyx/Carbon Fiber Composites Via Surrogate Model. Petcharat, N.; Wiangkham, A.; Pichitkul, A.; Tantrairatn, S.; Bureerat, S.; Aengchuan, P.; Banpap, S.; Khunthongplatprasert, P.; and Ariyarit, A. Carbon Fiber Composites Via Surrogate Model. .
link bibtex

@article{petcharatmulti,
  title={The Multi-Objective Optimization of Material Properties of 3d Print Onyx/Carbon Fiber Composites Via Surrogate Model},
  author={Petcharat, Nutchanan and Wiangkham, Attasit and Pichitkul, Auraluck and Tantrairatn, Suradet and Bureerat, Sujin and Aengchuan, Prasert and Banpap, Suwatjanee and Khunthongplatprasert, Piyanat and Ariyarit, Atthaphon},
  journal={Carbon Fiber Composites Via Surrogate Model}
}

Comparative Study of Fuzzy Inference System and Design of Experiment for Clean Room Equipment Factory. Aengchuan, P.; and Aungkulanon, P. . .
link bibtex

@article{aengchuancomparative,
  title={Comparative Study of Fuzzy Inference System and Design of Experiment for Clean Room Equipment Factory},
  author={Aengchuan, Prasert and Aungkulanon, Pasura}
}