จำนวน Repository ( 156 )
อันตรายด้านจุลินทรีย์และจุดควบคุมวิกฤติการผลิตอาหารโรงเรียน : ข้าวคลุกกะปิ
The objectives were to study microbiological hazard of Khao kluk ka pi for school food service risk assessment and critical control points (CCP) according to HACCP principles.The production of Khao kluk ka pi had the improper hygienic practice. Thus TPC counts were found in shallots coriander and chilli at 1.9×106 3.2×107 and 5.9×106 cfu/g respectively and found E. coli in chopped coriander more than 1100 MPN/g. The TPC S. aureus C. perfringens Salmonella and V. parahaemolyticus were not detected in cooked ingredients. The number of TPC in Khao kluk ka pi held at ambient temperature for 0 2 4 and 6 hours were founed an increase from 1.2×106 cfu/g to 7.6×106 1.8×107 and 3.4×108 cfu/g respectively that was as a result of the uncooked ingredients and mixing process. The microbial numbers were increased when this food was held for a long time before serving. The CCP of Khao kluk ka pi production were indicated at the process of washing raw vegetables cooking process and holding cooked food at room temperature for a long time before serving.
เส้นใยสององค์ประกอบ : ชนิด การผลิต และการนำไปใช้
Bicomponent fiber is a specific type of synthetic fibers with two different properties of polymers joined together in the same filament during spinning process. Bicomponent fibers have distinctive properties from monocomponent fibers. The properties of fibers are outcomes of type of cross section properties of composed polymers fiber spinning process condition and after-treatment process. The primary applications of bicomponent fibers are self-crimping (or self-bulkiness) fibers thermal binder fibers microfibers and special property fibers which can be added into the shealth of fiber. The fiber processing types and applications of bicomponent fibers are summerised and stated in this paper.
พัฒนากังหันน้ำผลิตไฟฟ้าเพื่อการผลิตขาย
Research this project invents for design and build the water turbine produce the electricity by set up the equipment produces the electric current from water energy flows from the nature which be new choice for Thailand in using energy pays back. then born the idea in energy water lead flows in the tide comes to use is born the advantage The water turbine has produced the electricity that does designing and establish to compose 3 part importance be the part of water buoy water turbine part is the pin wheel that is made of the iron each have a draught 90 centimeter group part carries round which compose the gearwheel yes carry round and a transmitting belt carry round . From pin wheel test produces the electric current that establishes to induce float in a river already record seek feeling numb fire efficiency reaches to open 12 DC good and use inverter to 220 v. AC
การศึกษาความเป็นไปได้ในการผลิตโครงสร้างกันแรงกระแทกของรถยนต์จากกากผักตบชวา
Nowadays an automotive industry steadily has been growing and playing a major role on economy development for many years. The crash box is one of the most important parts for safety but it was found that the crash boxes manufactured domestically are not met international standard requirements. This is due to process and material limitation. This process for automotive safety test requires high budget and there is unclear approach for specific test. Therefore a study of crash boxes referred to energy absorption project was conducted as the alternative materials for product. Consequently this project was aimed to design and test crash boxes which made from the diversity of the alternative materials such as aluminum aluminum reinforced by foam resin reinforced by fiberglass resin reinforced by water hyacinth and resin reinforced by water hyacinth and husk. In addition it was also emphasized in studying energy absorption behavior and physical deformation of crash boxes after dynamic and static energy being applied. The experimental works were applied for these tests in partly referenced to US NCAP and ECE R29 standard for automobile collision test. Testing all types of crash boxes indicated that the aluminum reinforced by foam type was able to absorb energy at 189 MJ/m3. It is higher than resin reinforced by water hyacinth and husk at 1 MJ/m3 as 188 times. Furthermore the comparison of the energy absorption (per unit volume) between the aluminum reinforced by foam type and the steel type from the previous project equivalent 20 MJ/m3 found that it is 8.45 times of difference. While the front impact test was not successful because the size of crash boxes was not suitable for the energy volume. It was a cause for non-available calculation of energy absorption value.
การวิเคราะห์สาเหตุของการผลิตสินค้าบกพร่องและเสียด้วยตัวแบบการถดถอยโลจิสติกส์แบบเบย์: กรณีศึกษาโรงงานผลิตชิ้นส่วนรถยนต์
This research proposes a Bayesian logistic regression model which is applied to the data from autoparts manufacturing machines. Factors related to defective and bad products are investigated. The proposed model is compared with the logistic regression using maximum likelihood method for parameter estimation. The data were collected from 132 machines in an autoparts manufacturing factory. The research found that useful life machine type 6 worker group 3 and 4 working step 1 and 2 influence to the risk of producing defective and bad products. When the useful life is increased by 1 month the risk of producing defective and bad products will be increased by 2.2%. The risk that the machine type 6 will produce defective and bad products is 4.078 times greater than the risk that the machine type will do. The risk that the worker group 3 will produce defective and bad products is 61.7% less than the risk that the worker group 12 will do. The risk that the worker group 4 will produce defective and bad products is 61.5% less than the risk that the worker group 12 will do. The risk that the working step 1 will produce defective and bad products is 2.831 times greater than the risk that the working step 4 will do. The risk that the working step 2 will produce defective and bad products is 13.8 % greater than the risk that the working step 4 will do. The parameter estimates from the Bayesian logistic regression are very close to the ones from the logistic regression using maximum likelihood method for parameter estimation