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Search Results: 1 - 3 of 3 matches for " Komson Prapunkarn "
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Study of Factors Affecting the Ablation Rate of Phenolic Resin/Fiber Glass
Nattawat Winya,Adulyasak Boonpan,Komson Prapunkarn
International Journal of Chemical Engineering and Applications , 2013, DOI: 10.7763/ijcea.2013.v4.302
Abstract: In this study, design experimental by two-level Factorial design to screen the factors to those factors that affect the ablation rate significantly. The following parameters were varied: amount of phenolic curing temperature and curing time. Factors that affect the ablation rate are as follows curing time, amount of phenolic resin, interaction between curing temperature and curing time, interaction between curing time and amount of phenolic resin, interaction between curing temperature and amount of phenolic resin and 3-way interaction of amount of phenolic resin, curing temperature and curing time. As the results of main effects analysis to determine 0.75 wt.% of phenolic resin, curing temperature 160 °C and curing time 35 min to give the ablation rate was 0.121 mm/s less than 0.14 mm/s according MIL-l-24768 standard.
Quality Management in Electrical-Electronics SMEs
Komson Jirapattarasilp
Lecture Notes in Engineering and Computer Science , 2008,
Abstract:
The application of statistical techniques to reduce ethylene glycol in waste water produced by esterification reaction in polyester manufacturing process
Komson Akesrisakul,Adsada Jiraprayuklert
Songklanakarin Journal of Science and Technology , 2007,
Abstract: This study aimed to find the factors that influence the amount of ethylene glycol (EG) in waste water, produced by the esterification reaction in polyester manufacturing process, and to set these influential factorsat the proper level, which leads to small amount of EG and low waste water treatment cost but same polyester quality. Several experiments were designed and performed to achieve the research objectives. The studybegan with reviewing various relevant documents and interviewing specialists to define the potential factors. Consequently, there were 4 potential factors: the reaction temperature, the level of slurry in reactor, the EGfeeding rate, and the water temperature in distillation column. To find the influential factors, One-Factor- At-a-Time (OFAT) experiments were applied to define the significant factors. Then, a factorial designexperiment was implemented to analyze their interaction effects. The experiments revealed that the reaction temperature, the level of slurry in reactor, and the EG feeding rate best setting condition, the results showed that EG volume was decreased on average 10.15% and that waste water treatment cost was reduced 27.82%.
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