Kasem Bundit Engineering Journal

ผลกระทบของห้องอบสองชั้นต่ออุณหภูมิและความชื้นสัมพัทธ์ในกระบวนการอบแห้งกล้วยน้ำว้าด้วยโรงอบแห้งพลังงานแสงอาทิตย์

เจิมธง ปรารถนารักษ์ — 2024-08-30

The objective of this research was to find out the outputs of dried product by the solar drying using the single-drying chamber comparing to the double-drying chamber. The bananas (Musa ABB) was used as a sampling in the testing of the natural convection and the forced convection. The initial moisture content was 65-67 % w.b., dried until less than 20 % w.b. The studies showed that the double-drying chambers could internally distribute the temperature well, and consistently similar in all layers. Its thermal efficiency is better than the single-drying chamber. Its specific energy consumption was less than the one of the single-drying chamber. The specific energy consumption of the double-drying-chamber conditioned by including the infrared heater and compared between turning on and turning off the ventilation fan was 2.52 and 2.19 kWh/kg, respectively. The solar drying with infrared heater and turn of the ventilation fan, it took less than 2 days to dry the bananas which had moisture content to 20 % w.b. The color values of the product dried with the inclusion of the infrared heater were the darkest color, its lighting value decreased and the red value increased, both statistically significant (P ≤ 0.05)

การศึกษาและออกแบบเตาเผาขยะห้องเผาไหม้ 2 ห้องขนาดเล็กโดยใช้แผ่นเหล็กกล้าเป็นผนังกั้นห้อง

ภักดี สิทธิฤทธิ์กวิน — 2024-08-30

The purpose of the study is to design and build waste incinerators with a double combustion chamber by using a steel plate as a wall between the two combustion chambers, then evaluate their performance in terms of combustion efficiency, waste feed rate, and exhaust pollution value, by a method of studying and collecting waste data and then using it to design and build the incinerators. Then do a test of burning waste with a ratio of wet waste to dry waste by weight between 0:100 to 60:40 and a waste feed rate of 50 kg/h. The results of the study found that they can be used to burn waste with a ratio not exceeding 50:50 and can feed waste at a maximum rate of 42 kg/h. Considering that the incinerator’s efficiency is as high as 98.5%, In addition, It was also found that using steel as a material for partition walls can help reduce air pollution levels to within control standards by the amount of carbon monoxide (CO) gas having a minimum value of 44 ppm, oxides of nitrogen (NO_x) having the value of 135 ppm, and the opacity value of 17%. However, adding wet waste to 60% of the total waste will cause the air pollution levels to exceed the standard.

THE IMAGE PROCESSING IN A VISION SYSTEM-BASED SIZE INSPECTION FOR DRIED FLATTENED BANANAS

Narisara Suwichien — 2024-08-30

The bananas are an economically significant fruit in Thailand, both for domestic consumption and export. Thailand has opportunities to further expand the value of exports. This includes the development of various banana products, especially dried bananas, which is a method of transforming regular bananas into higher-value products. In the distribution of dried flattened bananas, they are sorted into two groups: small and large sizes. Currently, the size sorting of dried flattened bananas is done manually. The human-based size sorting varies among individuals due to the lack of standardized criteria for distinguishing small and large sizes. Furthermore, this manual process can lead to fatigue, especially when working for extended periods of time. For this reason, the aim of this research is to develop an automated system for automatically sorting the sizes of dried flattened bananas using a vision system with LabVIEW software. The criteria for size sorting are as follows: large-sized bananas must have a length greater than 77 mm, and the surface area captured by the low-cost web camera must be no less than 2780 mm². Based on the experimental results, the sorting was divided into three categories: detecting only small-sized dried bananas, detecting only large-sized ones, each with a quantity of 50 pieces, and detecting a mixture of small and large sizes, with a total quantity of 50 pieces (25 of each size). The accuracy of the program for detecting small-sized dried bananas, large-sized ones, and the mixed sizes was found to be 96.00%, 94.00%, and 94.00%, respectively.

การประเมินศักยภาพการบรรเทาปัญหาอุทกภัยในพื้นที่ลุ่มแม่น้ำมูลบริเวณจังหวัดบุรีรัมย์และสุรินทร์ด้วยแบบจำลอง MIKE11

สุวารี สงฆ์พัฒน์แก้ว — 2024-08-30

The objective of this study is to apply the MIKE11 model to simulate flood conditions and provide strategies to mitigate flooding in the Mun River in Buriram and Surin provinces. This model was employed to recreate the unidirectional flow of the Mun river. The research area gathered flood mitigation measures from relevant agencies and identified two specific entities involved: the Marine Department and the Department of Water Resources. This study used 3 measures: flood retention area (SN.01), river dredging (SN.02), and flood retention area combined with river dredging (SN.03). According to the findings, the flood retention area, together with river dredging (SN.03), was the most suitable option when compared to the current state of the river. By applying the flood event of 2017 as a case study, the flow discharge in Buriram and Surin Provinces was projected to increase by 608.19 and 754.79 cubic meters per second, respectively, in comparison to the pre-flood conditions of 2017. Furthermore, it successfully reduced the extent of flooding in community areas from 3,759.36 rai to 2,220.93 rai, equivalent to a drop of 40.92%.

การพัฒนากระบวนการหมักหัวมันสำปะหลังเพื่อให้ได้โปรตีนเป็นส่วนผสมอาหารสัตว์

สากล ทองประภา — 2024-08-30

This research aims to develop a fermentation process for agricultural products to produce sludge with enough crude protein and to use the analysis results to compare the amount of crude protein obtained from the method used as an ingredient in animal feed. The experiment was carried out with a factorial design and a completely randomized design (CRD) with two factors at two levels each (a x b factorial in CRD). The factors used in the process are freshly crushed cassava roots (A. a1, a2), 300 kilograms, and 300 kilograms of fresh crushed and fermented cassava roots covered for one month. Use the stirring motor at 100 rpm (B. b1, b2) with the second factor for 2 and 6 hours/day. Install a water pump to circulate water and sediment from the bottom of the fermentation tank to mix with the air sent back into the fermentation tank. Add 100 grams of naturally inoculated microorganisms to each tank and 10 kilograms of organic food supplements. Replicate four replicates (2²x4), and record the temperature (Temp), acid-base (pH), and oxygen (DO) every day until 30 days. After stopping the process for one month, filter to collect sediment from the bottom of the tank or float on the water's surface, then dry it under sunlight (solar drying). After the sediment has dried and the moisture is lower than 10%, grind it thoroughly, take a fine sediment sample, and send it for analysis to a certified laboratory to ascertain and certify the results of any level of protein composition. From the resulting data analyzed. It showed that the first factor used in the process (A, both a1 and a2) was the factor that affected the quantity of crude protein obtained from the process (p = 0.025), and in the statistical analysis to compare the average protein content obtained in each process and including those that did not go through the process (control). It was found that there were statistically significant differences (p = 0.000). It was found that the protein content from all four processes was at an appropriate level of nutrients and could be mixed into animal feed or fed to many types of animals including large and small animals, poultry, and aquatic animals.

การจำลองสถานการณ์กระบวนการผลิตอาหารสัตว์ด้วยโปรแกรมเฟลกซิม กรณีศึกษาโรงงานผลิตอาหารสัตว์จังหวัดสุโขทัย

ศิริกาญจน์ จันทร์สมบัติ — 2024-08-30

This research presents a study and an approach to improving the productivity of the fresh corn silage production process at a silage factory in Sukhothai province through computer simulation modelling. The proposed simulation program is called flexsim, which generated a prototype model. This prototype was compared with five alternative models to enhance productivity. Based on the analysis of the experimental results, the prototype model, designed to simulate the current production process of the factory, revealed poor machine utilization for large machine, with an idle time percentage of 75% and a processing percentage of 25%. After adding a raw material amount of 25,000 kilograms into the simulation model, it was found that the second scenario could reduce the machine idle time by 17.5% and increase output from 10 units per day to 17 units per day compared to the present operation. From the results, it can be concluded that the case study factory does not need to invest the money to improve the productivity by purchasing new machines.

การเพิ่มประสิทธิภาพกระบวนการโม่สับย่อยมันสำปะหลังโรงงานผลิตแป้งมัน จังหวัดกำแพงเพชร

ชยันต์ คำบรรลือ — 2024-08-30

The purpose of this research was improvement shape blade chopping cassava to reduce losses and increase life time of blade chopped in production process chopping cassava of Kamphaeng Phet starch factory by apply QC 7 tools for find respond of short life time of blade chopped. There are difference distance between of teeth blade and there are equal 8 16 24 and 32 mm made from stainless steel SUS430 for increase life time of blade chopped. The result of the study distance between teeth of blade chopped at 32 mm is life time more than 77.5 hours by compare original shape blade is 48 hours increase 29.5 hours or representing 61.46 percent and that is reduce costs of bland chopped from 60,000 baht per month reduce to 43,107 baht per month that can be reduce costs of bland chopped 16,893 baht per month per 1 machine.

การวิเคราะห์แนวทางการพัฒนาการตรวจสอบและแจ้งเตือนการรักษาความมั่นคงปลอดภัยของระบบปฎิบัติการด้วยการประยุกต์ใช้โมเดลออโตมาตา

ทิภาพร ศุภมิตร — 2024-08-30

This study aims to examine the challenges and state of operating system security to develop methods for monitoring, surveillance, and alerting. It uses data analysis techniques, including frequency, percentage, mean, and standard deviation. The findings are as follows: Part 1 shows data management testing at 4.98%. Part 2's analysis and reporting stand at 4.93%. Part 3's alerting methods account for 4.98%. Part 4 discusses developing inspection and alerting methods using automata models, which were found to be at a significantly high level.

MEASURING THE ENERGY EFFICIENCY OF RDF QUERY PROCESSING

Marko Niinimaki — 2024-08-30

The cost of electric power consumed by a server computer is a significant component of its total cost of ownership. Since database servers are essential in the era of Big Data, we studied the performance and energy consumption of a small server. To achieve this, we stored a large set of RDF (Resource Description Framework) data in a database (RDF4J) running on consumer-grade hardware. Using realistic SPARQL language queries from Wiki data and a low-cost power/energy meter, we measured the energy consumption of RDF query processing. Our database management system responded to queries over a network connection, demonstrating that the network processing overhead in query processing was quite low (about 2 to 4%). We found that the most energy-efficient processing (queries per Watt) could be achieved with a slightly larger degree of parallelism than the best throughput (queries per hour). Moreover, we discovered that using a stripped-down version of the operating system on which the database ran did not affect the energy consumption of the query processing.

การใช้โครงข่ายประสาทเทียมช่วยในการวิเคราะห์กำลังสูญเสียของหม้อแปลงไฟฟ้าระบบจำหน่ายในสภาวะโหลดปกติและโหลดเกิน

บุญเลิศ สื่อเฉย — 2024-08-30

This research paper presents power loss analysis in a 3-phase distribution transformer of 100 kVA 22 kV-400/230 V in normal load and overload conditions using a neural network technique. This method can analyze power loss in the transformer quicker and use fewer variables than the power loss calculation using various parameters obtained from transformer manufacturers. Seventy thousand sets of current tests ranging from 1%-140% at temperatures of 35^oC, 45^oC, 55^oC, 65^oC and 75^oC were experimentally measured, then power losses are calculated. Fifty-six thousand sets of those were used for training of the neural network to find the parameters and the other 14,000 sets were used for the input data to find power losses. In addition, the power losses obtained from the artificial neural network were compared with calculated power losses by using parameters from transformer manufacturers. The error percentage value no more than 1.06 was at a satisfactory level suggestingthat this method can be applied in the designing of electrical power loss test for transformers in the future.