In this paper, we aim to improve the output quality of a food 3D printer through optimized component design and implementation. Existing 3D printers produce customized outputs according to consumer needs, but have problems with output speed and poor quality. In this paper, we aim to solve this problem through optimized design of unit parts such as the extruder, nozzle, guide, and external case. Fusion 360 was used for element design, and in the performance evaluation of the implemented system, the average precision was 0.06mm, which is higher than the non-repeatable precision of ±0.1㎜ of other products, and the feed speed of the existing system was evaluated to be more than twice as fast, from 70mm/s to 140mm/s. In the future, we plan to continuously research output elements that can produce texture and color and device control methods for convenience.

In this study, the quality of sow pork was compared with commercial pork to evaluate sow pork as raw meat material for processing. Texture, cooking loss, color, pH, water, lipid, fatty acid, volatile profiles, and sensory characteristics of 3 parts (tenderloin, loin, hind leg) of sow and commercial pork were analyzed. In texture analysis, sow pork had significantly higher shear force compared to commercial pork (tenderloin: sow 143.19 N, commercial 107.79 N; loin: sow 173.62 N, commercial 120.65 N; hind leg: sow 211.76 N, commercial 112.80 N) (p<0.05). There were significant differences in cooking loss, color, and pH, but they differed by part. A total of 49 volatile compounds were identified, and there were significant differences in 22 volatile compounds. In the case of hexanal (one of the warmed-over flavors), which was detected on the largest scale, the relative concentration was significantly higher in the tenderloin of commercial pork (p<0.05). On the other hand, no differences were reported by sensory analysis for hardness, off-flavor, juiciness, oiliness, appearance, taste, and acceptability between cooked sow and commercial pork. This study provides a database on the quality of sow pork by parts, which is considerable to develop proceed meat products using sow meat.

Ball stud parts are manufactured by a cold forging process, and fastening with other parts is secured through a head part cutting process. In order to improve process quality, stabilization of the forging quality of the head is given priority. To this end, in this study, a predictive model was developed for the purpose of improving forging quality. The prediction accuracy of the model based on 450 data sets acquired from the manufacturing site was low. As a result of gradually multiplying the data set based on FE simulation, it was expected that it would be possible to develop a predictive model with an accuracy of about 95%. It is essential to build automated labeling of forging load and dimensional data at manufacturing sites, and to apply a refinement algorithm for filtering data sets. Finally, in order to optimize the ball stud manufacturing process, it is necessary to develop a quality prediction model linked to the forging and cutting processes.

The purpose of this paper is to propose part management and standardization to reduce cost and increase compatibility of parts through standardization and standardization of parts to be applied to urban air mobility(UAM) systems, Personnel Air Vehicle(PAV), Vertical Take-Off and Landing (VTOL), and so on. In other words, parts used in the urban air transportation system must be verified from the initial design stage in accordance with the aviation standard, and a systematic management system for various parts must be established to secure stability and improve quality. Therefore, as a system similar to the aviation component management system, it should be thoroughly managed for urban aviation components.

In this study, as part of the paradigm shift for manufacturing innovation, data from the multi-stage cold forging process was collected and based on this, a big data analysis technique was introduced to examine the possibility of quality prediction. In order for the analysis algorithm to be applied, the data collection infrastructure corresponding to the independent variable affecting the quality was built first. Similarly, an infrastructure for collecting data corresponding to the dependent variable was also built. In addition, a data set was created in the form of an independent variable-dependent variable, and the prediction accuracy of the quality prediction model according to the traditional statistical analysis and the tree-based regression model corresponding to the big data analysis technique was compared and analyzed. Lastly, the necessity of changing the manufacturing environment for the use of big data analysis in the manufacturing process was added.

This experiment was conducted to a comparison of the productivity according to variety and forage quality by plant parts of imported silage corn (Zea mays, L) in Pyeongchang. The corns evaluated in this experiment were 8 varieties (P1184, P1151, P1194, P1543, P1345, P1429, P1443, and P2105) introduced from the United States, Pioneer Hybrid Co. The harvested corn was divided into 5 plant parts (leaf, stem, cob, husk, and grain), and the ratio of each part was calculated using dry weight and the feed value was analyzed. The emergence rate of corn was generally good except for the P1151 and P2105 varieties. The average tasseling date was July 24th and the silking date was July 27th, but the P2105 variety was late to July 28th and August 1st, and the remaining varieties were similar. P1345 was the highest (289 and 123 cm), and P1151 varieties were the lowest (267 and 101 cm) in the plant and ear height. Disease resistance was low in P1184, P1443 and P1429, and P1197 and P1345 were high. In the case of stover, the dry matter (DM) content was the lowest at 19.6% in the P1151 and the highest at 24.9% in the P1429. DM content of ear was the highest in the P2105 (55.5%), and P1184 (54.2%) and P1345 (54.3%) were also significantly higher (p<0.05). The DM yield of stover of P2105, P1429 and P1194 varieties was significantly higher (p<0.05), and ear yield of P2105, P1345 and P1443 was higher. The proportions of each part of plants (leaf, stem, cob, husk, and grain) divided by 5 was high, with 50-60% of the ear(grain+cob) ratio. The ratio of husk and cob was roughly similar, and the leaf and stem part showed a ratio of about 20%. The crude protein (CP) content was highest in leaf, followed by grain. The CP content of the stem was the lowest, and the husk was not significantly different among the varieties (p>0.05). The acid detergent fiber (ADF) content was similar to the rest parts except grain, but the leaf part tended to be lower, and other parts except the stem and leaf showed no significant difference between varieties (p>0.05). There was no significant difference in NDF (neutral detergent fiber) content in husk, but there was a difference between varieties in other parts (p<0.05). In addition, there was a special difference by plant parts for each variety, P2015 on the stem, P1197 on the leaf, P1151 on the cob, P1197 on the husk, and P1197 on the grains with high NDF content. IVDMD (in vitro dry matter digestibility) was not significantly different between stems and grains, but there was a difference between varieties in cobs and husks. According to the results, DM yield of P2105 variety was the best in the experiment, and the ratio of grain was excellent in P1543 and P1345. In addition, it was found that the feed value was higher in the leaves and grains, and the leaf and stem had higher feed values than husk or cob.

본 연구는 교잡돈의 출하일령은 약 200일 이고, 175두의 돼지를 도축하여 3개의 그룹(59 ~ 95kg, 96 ~ 110kg, 111 ~ 148kg)으로 나누어, 등심, 상완세갈래근, 대퇴두갈래근, 반막모양근의 육질 특성을 조사하였다. 콜라겐과 지방함량은 반막모양근, 대퇴두갈래근이 111 ~ 148kg 그룹에서 다름 그룹에 비 해 낮은 함량을 나타내었으며(p<0.05), 단백질함량은 반막모양근, 대퇴두갈래근과 상완세갈래근이 111 ~ 148kg 그룹에서 다른 그룹에 비해 높은 함량을 나타내었다(p<0.05). 등심과 반막모양근의 명도는 111 ~ 148kg 그룹에서 높게 나타내었으며(p<0.05), 적색도와 황색도는 유의적인 차이가 나타나지 않았 다(p>0.05). pH는 등심에서 체중이 증가함에 따라 낮은 값을 나타냈었다(p<0.05). 가열감량은 등심, 반 막모양근, 대퇴두갈래근, 상완세갈래근이 111 ~ 148kg 그룹에서 보다 59 ~ 95kg 그룹에서 낮게 나타 났으며(p<0.05), 보수력은 반막모양근과 대퇴두갈래근에서 체중이 증가할수록 높게 나타났다(p<0.05). 전단력은 등심과 상완세갈래근에서 체중이 증가할수록 낮게 나타났다(p<0.05). 등심의 지방산 분석 결 과는 96 ~ 110kg 그룹에서 oleic acid, MUFA, MUFA/SFA가 높았고(p<0.05), 111 ~ 148kg 그룹에서 trans-vaccenic acid와 SFA가 높았지만(p<0.05), UFA는 낮았다(p<0.05).등심의 관능평가는 연도와 다 즙성이 96 ~ 110kg 그룹에서 높은 점수를 받았다(p<0.05).

본 연구는 수수× 수수 교잡종의 원형 곤포 및 트렌치 사일리지의 부위에 따른 사료가치 및 품질에 미치는 영향을 구명하기 위하여 천안에 위치한 국립축산과학원 자원개발부 에서수행되었다. 수수× 수수 교잡종 SS405는 5월초순에 파종한 다음 출수기에 수확하여 사일리지로 조제하였다. 원형 곤포사일리지의 조단백질, NDF 함량 및 in vitro 건물소화율은 트랜치사일리지와 비슷한 수준을 보였으나 NDF 및TDN 함량에서는 원형 곤포사일리지 보다 트랜치 사일리지에서 약간 증가하였다. 사일리지부위별 조단백질 함량은 외부나 중간부위 보다내부에서 약간의 감소를 보였으나(p<0.05),NDF, ADF 및 TDN 함량 및 in vitro 건물소화율에서는 차이를 보이지 않았다. 원형 곤포사일리지의 젖산 함량은 트랜치 사일리지 보다유의적으로 감소하였으며(p<0.05) 초산 함량도감소하는 경향을 보였을 뿐 유의차는 나타나지않았다. 그리고 사일리지 부위별 젖산, 초산 및낙산 함량은 큰 차이를 보이지 않았다.

Data mining is the process of finding and analyzing data from a big database and summarizing it into useful information for a decision-making. A variety of data mining techniques have been being used for wide range of industries. One application of those is especially so for gathering meaningful information from process data in manufacturing factories for quality improvement. The purpose of this paper is to provide a methodology to improve manufacturing quality of fuel tanks which are auto-parts. The methodology is to analyse influential attributes and establish a model for optimal manufacturing condition of fuel tanks to improve the quality using decision tree, association rule, and feature selection.

SMS Meer GmbH, formerly Mannesmann and today part of the SMS Group, has been building powder presses since the early 1950s. The patents developed here in this field have long since documented the pioneering work carried out for the PM industry. The paper focuses on the challenge of reconciling the contradictory demands in the production of highly complex and crack-free PM parts. The process employed with the patented Controlled Punch Adapter (CPA) [1] counters possible cracking reliably and directly at the source. In this way is it possible to develop new and highly complex parts to series production maturity in a minimum of time even without simulation of the press cycle [2]. The quality data achieved in the production series, almost 100% crack and micro crack-free green parts with optimum density distribution over all press levels is unrivalled and thus gives the user a clear lead over the competition.

The development of Micro MIM as a new manufacturing process for metallic micro parts made of advanced functional materials has been the subject of considerable research over the last years. This paper addresses important quality aspects on processing of new materials by Micro-MIM. Three examples of new functional materials that can be processed are reviewed in this paper. The first example is two-component-Micro-MIM to obtain multi-functional devices. A micro positioning encoder consisting of a magnetic / non-magnetic material combination is presented. The second issue is series production of the replicate of the smallest human bone in the ear (stapes) from Titanium as an example of medical application. Quality assurance and reproducibility in terms of injection moulding parameters are addressed. In the third part, first results on the processing of the shape memory alloy NiTi by Micro-MIM are presented. Potential applications include biocompatible devices and transportation, for example automotive and aerospace. Processing routes and initial microstructures obtained are discussed.

The physicochemical properties of soil and the yield and quality of rice (Oryza sativa L. cv. Sailmi) were assessed using Italian ryegrass (Lolium multiflorum Lam. cv. Kowinearly)-rice double cropping systems in the paddy fields at Goseong and Miryang in southern Korea. The average temperatures during the ripening period were approximately 1 °C higher than the optimal temperature for rice ripening and the sunshine duration was reduced by frequent rainfall. Consequently, it was slightly below the optimal conditions required for rice ripening. In the soil at Goseong, winter Italian ryegrass cropping increased the pH, electrical conductivity, and the contents of organic matter, total nitrogen (T-N), available P2O5, K, Ca, and Mg than winter fallowing. Particularly, the contents of T-N and available P2O5increased significantly. In the soil at Miryang, Italian ryegrass slightly increased the electrical conductivity and the T-N, Mg, and Na contents. Therefore, winter Italian ryegrass cropping improved the physicochemical properties of paddy soils; however, Italian ryegrass-rice double cropping slightly reduced the culm length at both Goseong and Miryang, without markedly changing the panicle length or number compared to fallow-rice cropping. Furthermore, at Goseong, Italian ryegrass-rice double cropping slightly decreased the spikelet number and milled rice yield, and increased the ripened grain rate; however, at Miryang, contrasting results were observed. In addition, fallow-rice cropping revealed no differences in the head rice or opaque rice rates. The protein content was slightly increased in Italian ryegrass-rice double cropping, without significant changes in the amylose content or Toyo value, compared to that in fallow-rice cropping. The peak and breakdown viscosities were slightly decreased. These results indicate that winter Italian ryegrass cropping might alter rice taste but may not exhibit remarkable negative effects on rice cultivation. Therefore, Italian ryegrass-rice double cropping system is recommended for paddy fields in southern Korea. Nevertheless, to increase the rice yield and quality, fertilization standards for rice cropping that consider the changes in the T-N and organic matter contents in paddy fields caused by winter Italian ryegrass cropping need to be established.

총체사료용으로 이용되고 있는 맥종들의 출수 후 수확시기 및 식물체 부위별 사료가치 변화를 분석하여 각 맥종의 최적 이용시기를 결정함으로써 효율적인 조사료 이용에 필요한 기초 자료를 얻고자 수행한 연구결과는 다음과 같다. 1. 조단백질 함량은 전 맥종에서 출수 후 일수가 경과하면서 식물체 전체 조단백질의 함량이 낮았다. 식물체 부위 별로는 출수 후 40일 수확을 제외하고는 잎의 단백질 비율이 가장 높으며, 줄기 부분은 어느 시기에서나 10% 미만으로 다른 부위에 비해 매우 낮은 수준이었다. 2. 출수 후 일수가 경과함에 따라 전반적으로 ADF함량이 낮아졌고 부위별로는 줄기의 ADF함량이 다른 부위보다 높고 잎의 ADF함량은 줄기와 이삭의 중간 정도의 비율을 나타냈다. 줄기의 건물중 비율이 높아지면 전체 ADF함량 비율이 직선적으로 높아지는 경향을 보였다. 3. 호밀을 제외한 전 맥종에서 출수 후 일수가 경과하면서 NDF함량은 낮아졌는데 호밀은 출수 후 일수가 경과하면서 줄기 건물중의 비율이 높아 전체 NDF함량이 높아졌다. 출수 후 일수가 경과하면서 줄기와 잎의 NDF함량 변화는 크게 변화가 없는 반면 이삭의 NDF함량은 출수 후 일수가 경과함에 따라 낮게 나타났다. 4. 호밀을 제외하고는 출수 후 일수가 경과하면서 RFV가 높아지며, 부위별로는 이삭의 RFV가 가장 높았고 줄기가 가장 낮았다. 식물체 전체 RFV 변이는 출수 후 이삭의 등숙이 진행되면서 잎과 줄기의 낮은 RFV를 보상함에 따라 전체적으로 출수 후 일수가 경과하면서 RFV가 높아지는 것으로 생각된다.