Klongboonjit, Sakon

Preferred name

Klongboonjit, Sakon

Alternative Name

Klongboonjit, S.

Klongboonjit, Sakol

Main Affiliation

School of Engineering

sakon.kl@kmitl.ac.th

Now showing 1 - 10 of 25

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Quality Evaluation of Wind Energy Data with Complete Linkage Clustering
(2022-12-01)
Klongboonjit, Sakon
;
Kiatcharoenpol, Tossapol
Although wind is an important free energy and most investors or farmers would like to invest in wind energy projects, they sometimes lack of the wind quality data in alternative areas for making decision. It should be definitely good to have some simple methods to classify the quality of wind energy for alternative areas. In this study, Complete Linkage method combining with the Euclidean distance calculation, which is really a simple method for users, is introduced to cluster wind energy quality of alternative areas. In a case of 13 alternative areas in the south of Thailand, the data of average wind velocity along 12 months from the secondary data source can be used to generate the initial distance matrix before continuously improving with Complete Linkage method. Finally, these 13 alternative areas are suitable clustered at C.D. = 5.11 into 3 groups of the low wind quality area with I.D. = 1.21, the medium wind quality area with I.D. = 1.41 and the high wind quality area with I.D. = 1.45
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Study of Air in a Vehicle Brake System by TOPSIS and EDAS Combining with FAHP
(2024-01-01)
Khamwiangsa, Weerachai
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Klongboonjit, Sakon
All vehicles are exported globally through sea freight, which involves extended storage periods and exposure to high temperatures. Consequently, issues with the brake system have been identified, arising from the presence of air and contaminants within the system. The aim is to minimize the number of Air in the Vehicle Brake System, targeting zero defects while eliminating repair and labor costs. Research integrating TOPSIS and EDAS with FAHP to address design and transportation issues in vehicles has not yet been identified. Through a systematic literature review, specialist questionnaires, and the Fuzzy Analytic Hierarchy Process (FAHP), the study identified the main contributing factors to the brake system issues and established their importance ranking. Based on this analysis, a multi-criteria framework for weights was determined using the FAHP comprehensive evaluation method. Subsequently, the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) method and The Evaluation based on Distance from Average Solution (EDAS) were employed to evaluate and classify the alternatives based on the obtained weights. By specifying a scoring guideline, the attributes of the brake system could be quantified, ensuring objectivity. Consequently, the brake system issue is implemented, verified, and analysed using TOPSIS and EDAS supported by FAHP. the priority ranking of 4 criteria levels and alternatives are calculated with Pi = 0.995, 0.690, and 0.574 respectively in the TOPSIS technique and ASi = 0.796, 0.500, and 0.478 respectively in the EDAS technique. The total Rejection per thousand of Air in a Vehicle Brake System is 0.99 for CA1, 0.12 for CA2, and 0.03 for CA3. The results highlight the effectiveness of integrating TOPSIS and EDAS with FAHP in reducing the presence of Air in the Vehicle Brake System and minimizing repair costs, with a primary focus on enhancing vehicle safety control as the most critical concern. Additionally, the research prioritizes assessing the risk associated with Air in the Vehicle Brake System.
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Optimization of Gelatin Fibrous Scaffold Properties by PCL and CMC by Using Electrospinning Technique
(2025-01-01)
Meesa, Banpot
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Klongboonjit, Sakon
This study aimed to utilize the electrospinning process to produce cell culture scaffolds from blends of gelatin-polycaprolactone and carboxymethyl cellulose. The experimental design involved determining the optimal voltage and feed rate for various ratios of the gelatin-polycaprolactone-carboxymethyl cellulose blends, including 100/0/0, 90/5/5, 80/15/5, 70/25/5, and 60/35/5. Gelatin served as the primary raw material at a 10% ratio, while polycaprolactone was added at 10%, and carboxymethyl cellulose acted as a strengthening agent at 0.8%. The solvent used for gelatin and polycaprolactone was 2,2,2 -trifluoroethanol, while water was used for carboxymethyl cellulose. The raw materials were thoroughly mixed to ensure homogeneity, and the resulting blend was processed by an electrospinning machine under various conditions to form nanofiber scaffolds. The workpieces were then dried and left to relax for 48 hours before being baked at 140°C for 72 hours, resulting in high-quality fiber material. The experiment revealed that the fiber sizes ranged from 1.5 μm to 5.2 μm, with the swelling ratio of the GPC60:35:5 mixture at 11.65%, confirming the feasibility of using electrospinning to create effective scaffolds for cell culture applications.
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Evaluation of Bio-Oil Quality from Hydrothermal Liquefaction of Chlorella vulgaris Using Entropy–TOPSIS Method
(2025-10-14)
Santikunaporn, Malee
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Asavatesanupap, Channarong
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Echaroj, Snunkhaem
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Manjai, Kanokwan
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Limcharoen, Wararat
Bio-oil production from microalgae presents a promising approach to address both energy crisis and environmental pollution. This study investigates the hydrothermal liquefaction (HTL) of Chlorella vulgaris for bio-oil production under varying solvents (methanol, ethanol, and propanol), catalyst types (zeolite, activate carbon, and graphene oxide) and catalyst loadings (0, 5, and 10 wt % of relative to dry algae). HTL reactions were conducted at temperatures ranging from 250 to 280 °C for 30 min, with biomass cake concentrations of 42.8–60.0 wt %. The objective was to determine optimal conditions for producing high-quality bio-oil using the Entropy–TOPSIS multicriteria decision-making method. Catalyst properties were characterized using SEM–EDS and nitrogen sorption analysis. Bio-oils were analyzed for higher heating value (HHV) and chemical composition via elemental analysis and gas chromatography-simulated distillation. Results showed bio-oil yields ranging from 43.65 to 71.51 wt %, with HHVs between 23.92 and 40.36 MJ/kg, indicating their suitability as transportation fuels. Among the solvents, propanol produced the highest amount of solid residue (biochar), while methanol promoted higher oil yields. The Entropy–TOPSIS analysis identified the most favorable conditions as HTL using methanol with 5 wt % graphene oxide catalyst, followed by methanol with 5 wt % activated carbon, and ethanol with 10 wt % zeolite. Energy recovery ranged from 63.69% to 96.18%, outperforming comparable biomass conversion processes. These findings support the potential for scalable, catalyst-enhanced HTL systems in commercial microalgae-based biofuel production.
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Assessment of Potential Area for Solar Energy Investment in Northeastern Thailand by Entropy-TOPSIS Method
(2024-01-01)
Phonphoon, Phichata
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Kiatcharoenpol, Tossapol
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Klongboonjit, Sakon
Agriculture is one of the important engines of Thailand's food industrial growth however the cost of fossil energy is quite high for Thai farmers. Since Thailand has great solar potential, especially northeastern region, renewable energy sources of sunlight in this region should be considered to be another energy source for Thai agriculture. To assess and classify the potential of the investment in agricultural solar power systems of 20 provinces in Thailand's northeastern region, this study applied the combining method of Entropy Weight Method and TOPSIS with secondary data of solar irradiance, farmer household density, and income of farmer households. With this combining method, the results showed that farmer household density and income of farmer household were more influence on assessing and classifying the potential of this investment than solar irradiance. Finally, all 20 provinces were classified into four groups of Group A (A<inf>12</inf>, A<inf>2</inf>, A<inf>4</inf>, A<inf>1</inf>, and A<inf>10</inf>), Group B (A<inf>8</inf>, A<inf>9</inf>, A<inf>19</inf>, A<inf>3</inf>, and A<inf>15</inf>)), Group C (A<inf>17</inf>, A<inf>13</inf>, A<inf>18</inf> A<inf>16</inf>, and A<inf>20</inf>) and Group D (A<inf>6</inf>, A<inf>11</inf>, A<inf>7</inf>, A<inf>14</inf>, and A<inf>5</inf>) from the most potential province group for investment in agriculture solar power system to the least potential province group for investment in agriculture solar power system.
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Lean Production for Reducing Wastes in Convex Lens Production Process
(2023-06-21)
Kiatcharoenpol, Tossapol
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Rattanapakdee, Wanchai
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Klongboonjit, Sakon
This research aimed to investigate the waste generated during the production of traditional convex lens. The study proposed a method to eliminate such waste by utilizing value stream mapping (VSM) as a tool for data collection and waste identification throughout the entire production process. Through the analysis of data using VSM, three specific types of waste were identified. These included losses resulting from ineffective utilization of the oven machine during the polymerization process, inefficiencies in personnel performance, and inappropriate working procedures. To address these waste issues, the task employed the work study method to optimize machine utilization, develop efficient work processes for personnel, and improve inappropriate procedures to enhance overall efficiency. The ECRS method was utilized to improve the process of waste elimination. The research findings demonstrated substantial reductions in waste within the production process. Specifically, the total throughput time decreased from 661.07 minutes to 480.68 minutes, representing a reduction of 27.29%. Furthermore, the total production lead time decreased from 1.20 days to 0.94 days, indicating a reduction of 21.67%. In terms of personnel, the workforce decreased from 42 employees per shift to 29 employees, reflecting a decrease of 30.95%. Finally, the number of oven machinery units required for all three shifts decreased from 3 ovens to 2 ovens, resulting in a reduction of 33.33%.
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Electrospinning of Nanofibers Effect of Gelatin by Polycaprolactone and Carboxymethyl Cellulose Degradation Characteristics
(2025-01-01)
Meesa, Banpot
;
Klongboonjit, Sakon
This study aims to investigate the degradation of gelatin-based polycaprolactone and carboxymethyl cellulose scaffolds produced through the electrospinning technique for nanofiber scaffolds. The experimental design varies the voltage and feed rate for different ratios of gelatin, polycaprolactone, cellulose, and carboxymethyl cellulose, which are 100/0/0, 90/5/5, 80/15/5, 70/25/5, and 60/35/5, respectively. An organic solvent, 2,2,2-trifluoroethanol, which is a suitable solvent for gelatin, polycaprolactone, and carboxymethyl cellulose, is used, though the materials are dissolved in water to prepare the raw material for electrospinning. To characterize the scaffolds, their physical properties are analyzed, including fiber morphology and size, using scanning electron microscopy. The results reveal that as the polycaprolactone content increases from 0%, 5%, 15%, 25%, to 35%, with carboxymethyl cellulose maintained at 0% or 5%, the fiber size decreases from 1.5 μm to 5.2 μm. This suggests that electrospinning is effective for fabricating scaffolds from all three materials. Furthermore, the decomposition rates are optimized for GPC90/5/5, GPC80/15/5, and GPC70/25/5, which completely decompose within 36 hours. Additionally, GPC80/15/5 shows a good degradation rate, while GPC100/0/0 and GPC60/35/5 exhibit rapid degradation.
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Priority of Wind Energy in West Coast of Southern Thailand for Installing the Water Pumping Windmill System with Combining of Entropy Weight Method and TOPSIS
(2023-10-01)
Klongboonjit, Sakon
;
Kiatcharoenpol, Tossapol
Wind energy potential or quality serve as the primary determinants influencing the decisions of Thai farmers regarding the installation of water-pumping windmills with heights ranging from 9 to 15 m and a cut-in wind speed requirement of 4 m/s, aimed at reducing their fuel costs. To introduce a simplified calculation method as one of their decision-making tools, the combined approach of the entropy weight method with TOPSIS has been introduced to assist them in prioritizing and assessing the wind quality in their respective areas. This study focuses on the western region of Southern Thailand, known for its high agricultural productivity. Initially, only 18 out of the 227 sub-districts with a minimum monthly wind speed exceeding 4 m/s were selected for thorough investigation. Subsequently, the entropy weight method was applied to the monthly wind speed data of these 18 chosen sub-districts to calculate their monthly weight values. These monthly weight values provide a quantifiable characterization of the wind quality in these specific sub-districts, revealing variations in wind quality between seasons, with superior quality during the summer season compared to the rainy season. Following the calculation of monthly weight values, the TOPSIS technique was applied to the wind data in conjunction with these monthly weight values, resulting in the determination of performance scores (P<inf>i</inf>) for each of the 18 sub-districts. P<inf>i</inf> values were found to vary from 0.0641 to 0.9006. In the final step of the analysis, these 18 sub-districts were ranked based on their respective P<inf>i</inf> values, with the implication that sub-districts exhibiting higher P<inf>i</inf> values are more suitable for the installation of water-pumping windmills with heights ranging from 9 to 15 m compared to those with lower P<inf>i</inf> values.
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Determination of effective university-industry joint research for photovoltaic technology transfer (UIJRPTT) in Thailand
(2011-02-01)
Sugandhavanija, Pornpimol
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Sukchai, Sukruedee
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Ketjoy, Nipon
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Klongboonjit, Sakol
Most of the literatures related to university-industry (U-I) and technology transfer assume that the collaboration particularly the U-I joint research is beneficial to both university and industry which as a result underpins the sustainable development of economics and living standards of developed and developing countries. The U-I joint research for photovoltaic technology transfer in a developing country like Thailand should have been increased considering the fact that (i) the government implemented various strategies to support the renewable energy research and market development, (ii) the university aimed to be " research-based university and (iii) the Thai photovoltaic industry struggle for competitiveness and survival in the global market. However, evidence revealed that the university and industry conducted little number of U-I joint projects. In this paper, we investigate the factors influencing the effective U-I joint research for photovoltaic technology transfer (UIJRPTT). In an attempt to better understand the influence of the factors, the path model with factors related to characteristics and perspectives of the university and the industry as well as joint research mechanism and their linkages to higher growth and improved economic and quality performance of the U-I joint research is developed and validated. The developed model empirically explains interaction between the factors and the outcome factors and can assist the government, the university and the industry to devise target strategies to improve the growth and performance of UIJRPTT. © 2010 Elsevier Ltd.
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Application of Two-Step Entropy–TOPSIS Method and Complete Linkage Clustering for Water-Pumping Windmill Investment on Thailand Peninsula
(2024-12-01)
Klongboonjit, Sakon
;
Kiatcharoenpol, Tossapol
This study focuses on identifying suitable areas for the installation of water-pumping windmills in Thailand, which require wind speeds of at least 4 m/s to operate efficiently. A simple combined approach is introduced, integrating the Entropy–TOPSIS method complete linkage clustering to prioritize and categorize potential locations. Out of 271 initial areas, 28 have been selected based on their ability to meet the 4 m/s wind speed threshold. The Entropy–TOPSIS method first evaluates these areas based on monthly wind speed and agricultural area. The analysis reveals that regions with higher wind speeds generally score better for wind energy potential, while areas with larger agricultural spaces tend to score higher for farming suitability. The final integrated scores show that agricultural area is more significant, with a weight of 0.7788, compared to the wind speed weight of 0.2212. The areas are then ranked, and complete linkage clustering groups them into six categories, from the most to the least suitable for windmill installation. A sensitivity analysis confirms the robustness of the clustering method, as the group composition remains stable despite minor changes in weight adjustments. This approach simplifies decision-making for sustainable energy investments in Thailand agriculture sector.
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Klongboonjit, Sakon

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