• Title/Summary/Keyword: 공정성 비율

Search Result 500, Processing Time 0.031 seconds

Studies on the Processing and Management Forms of Filatures (우리나라 제사공장의 공정 관리실태에 관한 조사연구)

  • 송기언;이인전
    • Journal of Sericultural and Entomological Science
    • /
    • no.12
    • /
    • pp.37-45
    • /
    • 1970
  • The processing management forms of our country's filature factories in 1969 are summarized as follows. (1) About 80% of total cocoon collection is made within 5 days involving peak day, and 10% of cocoon collection is finished until 3 days before and after the peak day, (2) About 92% of alive cocoons transported on unpaved road, and about 40% of the cocoons purchased by all factories are loaded on trucks from common selling station which is far beyond 40km, therefore a new packing system of alive cocoons to drop the damage of cocoon qualities, should be taken. (3) 22% of all factories in our. country have only low-temperature cocoon drying machine. Therefore the installment of hot-air cocoon drying machine is required urgently. (4) In view of cocoon qualities in our country, the grouping method of cocoon for reeling. taken by about 50% of the factories at percent, which classify cocoons for reeling as high group (1,2,3,4 grades) and low group(5,6 grades), will have to be replaced by the method tat classify them high group (1,2 grades) middle group (3,4 grades), low group (5,6 grades). (5) The .ratio of cocoon assorting stood about 10% in multi-ends reeling, about 15% in automatic reeling, conclusively, the ratio of cocoon assorting for automatic reeling was higher tan that for multi-ends reeling. One person's ability for a day in cocoon assorting reaches to about 80-100kg. (6) Cocoon cooking condition requires the increase of the cooking time, the pressure and temperature used to be prolonged as much as the qualities of cocoons are material cocoon ior automatic and double cocoon machines are treated uncompletely. (7) Automatic silk reeling is being performed at 1-2$^{\circ}C$ lower in reeling water temperature and operated at about twice velocity. (8) The temperature and humidity of rereeling room stood at 25$^{\circ}C$, 67.2% R.H and 32.3$^{\circ}C$, 51.9% R.H of rereeling machine are showed, Average rereeling velocity is 233m/min and large reefs charged for one person are 7.5 reels and form of skein used in all factories is double skein. (9) About 73% of water sources for filature used under-earth water. About 48% of all filature factories in our country have not yet water purifying equipments. Installation of the equipment for these factories seems to be urgent, (10) Denier .balance, sizing reel, seriplane, are being used in most factories as self-inspection apparatus. (11) More than 90% of the factories use the vacum tank in rereeling process and about 20% of them use it in cocoon cooing process (12) Only 21% of the factories use chemicals in filature process. About all them use "Seracol 100" in cocoon cooking process and "Seracol 500" in rereeling process, (13) Above survey results explain each all factories show large difference in the processing management. Therefore, it is believed that intercommunication through seminar or technical exchange will contribute to the production evaluation of cocoon in our filature industry.

  • PDF

Optimization of Extraction Process for Antioxidant from Persimmon Leaf and Thistle Using Response Surface Methodology (반응표면분석법을 이용한 감잎과 엉겅퀴로부터 항산화성분의 추출공정 최적화)

  • Lee, Seung Bum;Jang, Hyun Sick;Hong, In Kwon
    • Applied Chemistry for Engineering
    • /
    • v.28 no.4
    • /
    • pp.442-447
    • /
    • 2017
  • In this study, we extracted an antioxidant from natural products which are known to have a high antioxidant content and also optimized the extraction process by applying a response surface methodology (RSM). In addition, by measuring the total flavonoids and total polyphenols of the active ingredient extracted persimmon leaf and thistle, the functionality of the active ingredient was evaluated. Both ultrapure water and alcohol were used as extraction solvents and the ratio of ultrapure and alcohol, amount of sample, extraction time, extraction temperature were set as independence variables. Also, the yield, total polyphenols, and flavonoids was set as the response. Optimal extraction conditions were as follows; for persimmon leaf, the extraction time = 3.1 h, ratio of alcohol/ultrapure = 63.4 vol%, and temperature = $54.6^{\circ}C$ while for thistle the extraction time = 2.9 h, ratio of alcohol/ultrapure = 40.7 vol%, and temperature = $68.4^{\circ}C$. Also, the response were as follows; for persimmon leaf, the yield = 27.7%, total polyphenols = 33.2 mg GAE/g, and total flavonoids = 47.8 mg QE/mg dw, whereas for thistle the yield = 27.0%, total polyphenols = 17.9 mg GAE/g, and total flavonoids = 28.8 mg QE/mg dw at the optimal conditions. The overall satisfaction level was 71.7%.

Study of NIR in-line Monitoring of Physicochemical Changes during the Crystallization Process of Aspirin (Aspirin 결정화 과정 중 특성변화의 NIR 인라인 모니터링 연구)

  • Lee, Hea-Eun;Wang, In-Chun;Lee, Min-Jeong;Seo, Da-Young;Shin, Sangmun;Choi, Yongsun;Choi, Guang-Jin
    • Korean Chemical Engineering Research
    • /
    • v.48 no.6
    • /
    • pp.757-762
    • /
    • 2010
  • Since the quality and performance of medicinal products are heavily dependent upon the size, shape and polymorphism of active pharmaceutical ingredients(APIs), their crystallization has been regarded as one of the most important pharmaceutical processes. In this study, NIR-based inline measurements were employed to monitor key attributes of API particles real-time during the crystallization process. Principal component analysis(PCA) method was selected to correlate inline NIR spectra while the well-known aspirin was studied as a model drug. According to our characterization results, the ratio of ethanol to acetone did not cause any change in polymorphism, but resulted in a significant difference in the nucleation time, crystal growth and crystal shape. These phenomenological changes were well correlated with the PCA's implications. It turned out that the NIR-based inline monitoring technology can be employed well in observing and predicting key quality attributes such as crystal size during pharmaceutical crystallization processes.

Study on Semi-Dry Process Developement of BP's Sludge by Non-Heating Manufacture Method (비가열 제조법에 의한 BP슬러지의 반건조 제조공정 개발에 관한 연구)

  • Kim, Byeong-Ki;Kim, Jae-Hwan;Kang, Seok-Pyo;Kang, Hye-Ju
    • Journal of the Korean Recycled Construction Resources Institute
    • /
    • v.3 no.4
    • /
    • pp.313-319
    • /
    • 2015
  • This study relates to an investigation into semi-dry manufacturing process of BP sludge based on non-heating production method. In this study, we conducted a research into reduction of water content ratio which arose from mixture of BP by-products of high water content ratio(50% or higher) with industrial by-products to use such BP by-products as construction materials in large quantity. We measured the reduction rate of water content ratio at the feeding ratio of water content reduction agent(1:0.5) in BP by-products. The results showed that water content ratio was the lowest with 18.5% in the mixture of PA+CFA(1:0.5). Moreover, water content ratio ranged between approximately 9.2% and 11.4% at the age of 1 day to 2 days at the aging temperature of $20-30^{\circ}C$, suggesting that the water content ratio was in the range within 10% which was a level suitable for use as construction material in this study. Meanwhile, we compared and evaluated the physical properties of non-heated BP by-products based on post-aging pulverization method. The results showed that there was no significant difference, depending on pulverization method. When production efficiency and economic feasibility were taken into consideration, it was found desirable to use fine particle pulverizer or pin mill enabling continuous production.

Process Simulation of HCNG Refueling System (HCNG 충전 시스템 공정모사)

  • Kim, Sang-Min;Han, Jeong-Ok;Lee, Yeong-Cheol;Lee, Joong-Seong;Kim, Yong-Cheol;Chae, Jeong-Min;Hong, Seong-Ho
    • Journal of the Korean Institute of Gas
    • /
    • v.17 no.5
    • /
    • pp.1-7
    • /
    • 2013
  • In this study, simulation work of HCNG refueling system was performed. The hydrogen was produced from steam reforming process by natural gas. The conversion of natural gas is increased as SCR is increased. but it was no significant difference more than 3 of SCR and fuel throughput is increased as GHSV is increased. Both conversion and fuel throughput levels was optimized when the $1700h^{-1}$ of GHSV. CNG was compressed from low pressure natural gas. For the mixing of $H_2$ and CNG is mixed with the high pressure conditions such as 400bar of $H_2$ and 250bar of natural gas. Single-stage compression was required more power than multi stage. So, multi stage compression was suggested for high pressure compression. We calculated the intermediate pressure to minimize total required power of compressors. The intermediate pressure for $H_2$ and natural gas were derived at 61 and 65 bar, respectively.

Optimization Model for the Mixing Ratio of Coatings Based on the Design of Experiments Using Big Data Analysis (빅데이터 분석을 활용한 실험계획법 기반의 코팅제 배합비율 최적화 모형)

  • Noh, Seong Yeo;Kim, Young-Jin
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.3 no.10
    • /
    • pp.383-392
    • /
    • 2014
  • The research for coatings is one of the most popular and active research in the polymer industry. For the coatings, electronics industry, medical and optical fields are growing more important. In particular, the trend is the increasing of the technical requirements for the performance and accuracy of the coatings by the development of automotive and electronic parts. In addition, the industry has a need of more intelligent and automated system in the industry is increasing by introduction of the IoT and big data analysis based on the environmental information and the context information. In this paper, we propose an optimization model for the design of experiments based coating formulation data objects using the Internet technologies and big data analytics. In this paper, the coating formulation was calculated based on the best data analysis is based on the experimental design, modify the operator with respect to the error caused based on the coating formulation used in the actual production site data and the corrected result data. Further optimization model to correct the reference value by leveraging big data analysis and Internet of things technology only existing coating formulation is applied as the reference data using a manufacturing environment and context information retrieval in color and quality, the most important factor in maintaining and was derived. Based on data obtained from an experiment and analysis is improving the accuracy of the combination data and making it possible to give a LOT shorter working hours per data. Also the data shortens the production time due to the reduction in the delivery time per treatment and It can contribute to cost reduction or the like defect rate reduced. Further, it is possible to obtain a standard data in the manufacturing process for the various models.

A Study on Microorganism Dominant Species in Bench-scale Shipboard STP Using Combined SBR and MBR Process (SBR 및 MBR 복합공정을 적용한 Bench-scale Shipboard STP에서의 미생물 우점종에 관한 연구)

  • Choi, Young-Ik;Shin, Dae-Yeol;mansoor, Sana;Kwon, Min-Ji;Jung, Jin-Hee;Jung, Byung-Gil
    • Journal of the Korean Society for Environmental Technology
    • /
    • v.19 no.6
    • /
    • pp.550-555
    • /
    • 2018
  • International Maritime Organization (IMO) is one of the most effective organizations in evolving international law for the protection and conservation of the marine environment. The IMO, MARPOL(Marine Pollution) 73/78 contains six Annexes that provide an overarching framework for the objectives of the international marine pollution. Annex IV was regulated by 64 th resolution in 2012 to control sea pollution from sewage. In 2014 large-scale wastewater treatment and nutrient removal device was developed with a grant from the Ministry of Oceans and Fisheries. A combined new process of Sequence Batch Reactor (SBR) and Membrane Bioreactor(MBR) was developed to overcome the pollution caused by shipboard sewage. In the present study, shipboard sewage wastewater was treated by mixing and aeration cycle in the newly developed SBR process. Furthermore, during analysis by NGS technique(Macrogen Co., Ltd.), dominant species of bacteria were found in the aeration tank of the Bench-scale wastewater treatment facility. Bacteroidetes and Gammaproteobacteria accounted for 27.1 % of the aerobicbacteria and 16.8 % of the anaerobicbacteria, respectively. Microorganisms play a vital role in shipboard wastewater treatment. A further detailed study is required to understand the precise role of the microorganisms in the wastewater treatment.

Analysis of the microstructure of melting-pool in aluminum specimens fabricated by SLM technique (SLM 기법으로 제작한 알루미늄 시편 내부 멜팅풀 미세조직 분석)

  • Kim, Moo-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.12
    • /
    • pp.115-119
    • /
    • 2020
  • Selective Laser Melting (SLM) technology is state-of-the-art additive manufacturing process technology that produces a three-dimensional structure by irradiating a laser on a fine metal powder to perform the fusion of a specific area and repeat this process. Owing to the characteristics of the additive manufacturing process, the melting phenomenon of the metal material by the laser has directionality depending on the process conditions, such as the irradiation direction of the laser and the build-up direction. For this reason, the composition of the metal material in the structure exhibits non-uniform characteristics. In this study, aluminum (AlSi10Mg) specimens were manufactured by applying SLM technology, and the material composition characteristics of the specimen were analyzed. The specimens were manufactured as cylinders by the build-up orientation of 0°, 45°, and 90°. The surface morphology of the specimen plane was analyzed optically. TEM analysis was performed on the core and the interface of the melting-pool inside the specimen generated by laser irradiation. The analysis results confirmed that there was a difference between the nano cell structure of the core and the interface of the melting-pool, and that the composition ratio of Si appeared higher at the interface than at the core of the cell.

Efficient Multicasting Mechanism for Mobile Computing Environment Machine learning Model to estimate Nitrogen Ion State using Traingng Data from Plasma Sheath Monitoring Sensor (Plasma Sheath Monitoring Sensor 데이터를 활용한 질소이온 상태예측 모형의 기계학습)

  • Jung, Hee-jin;Ryu, Jinseung;Jeong, Minjoong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.05a
    • /
    • pp.27-30
    • /
    • 2022
  • The plasma process, which has many advantages in terms of efficiency and environment compared to conventional process methods, is widely used in semiconductor manufacturing. Plasma Sheath is a dark region observed between the plasma bulk and the chamber wall surrounding it or the electrode. The Plasma Sheath Monitoring Sensor (PSMS) measures the difference in voltage between the plasma and the electrode and the RF power applied to the electrode in real time. The PSMS data, therefore, are expected to have a high correlation with the state of plasma in the plasma chamber. In this study, a model for predicting the state of nitrogen ions in the plasma chamber is training by a deep learning machine learning techniques using PSMS data. For the data used in the study, PSMS data measured in an experiment with different power and pressure settings were used as training data, and the ratio, flux, and density of nitrogen ions measured in plasma bulk and Si substrate were used as labels. The results of this study are expected to be the basis of artificial intelligence technology for the optimization of plasma processes and real-time precise control in the future.

  • PDF

Development and Application of Cellulose Nanofiber Powder as a Nucleating Agent in Polylactic Acid (나노셀룰로오스 분말 개발과 폴리젖산 내 핵제 적용 연구)

  • Sanghyeon Ju;Ajeong Lee;Youngeun Shin;Teahoon Park
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
    • /
    • v.29 no.1
    • /
    • pp.51-57
    • /
    • 2023
  • Because of the global pollution caused by plastic disposal, demand for eco-friendly transformation in the packaging industry is increased. As part of that, the utilization of polylactic acid (PLA) as a food packaging material is increased. However, it is necessary to improve the crystallinity of PLA by adding nucleating agents or to improve the modulus by adding fillers because of the excessive brittleness of the PLA matrix. Thus, the cellulose nanofiber (CNF) was fabricated and dried to obtain a powder form and applied to the CNF/PLA nanocomposite. The effect of CNF on the morphological, thermal, rheological, and dynamic mechanical properties of the composite was analyzed. We can confirm the impregnated CNF particle in the PLA matrix through the field emission scanning electron microscope (FE-SEM). Differential scanning calorimetry (DSC) analysis showed that the crystallinity of not annealed CNF/PLA nanocomposite was increased approximately 2 and 4 times in the 1st and 2nd cycle, respectively, with the shift to lower temperature of cold crystallization temperature (Tcc) in the 2nd cycle. Moreover, the crystallinity of annealed CNF/PLA nanocomposite increased by 13.4%, and shifted Tcc was confirmed.