The Ti-6Al-4V lattice structure is widely used in the aerospace industry owing to its high specific strength, specific stiffness, and energy absorption. The quality, performance, and surface roughness of the additively manufactured parts are significantly dependent on various process parameters. Therefore, it is important to study process parameter optimization for relative density and surface roughness control. Here, the part density and surface roughness are examined according to the hatching space, laser power, and scan rotation during laser-powder bed fusion (LPBF), and the optimal process parameters for LPBF are investigated. It has high density and low surface roughness in the specific process parameter ranges of hatching space (0.06–0.12 mm), laser power (225–325 W), and scan rotation (15°). In addition, to investigate the compressive behavior of the lattice structure, a finite element analysis is performed based on the homogenization method. Finite element analysis using the homogenization method indicates that the number of elements decreases from 437,710 to 27 and the analysis time decreases from 3,360 to 9 s. In addition, to verify the reliability of this method, stress–strain data from the compression test and analysis are compared.

Recently, considerable attention has been given to nickel-based superalloys used in additive manufacturing. However, additive manufacturing is limited by a slow build rate in obtaining optimal densities. In this study, optimal volumetric energy density (VED) was calculated using optimal process parameters of IN718 provided by additive manufacturing of laser powder-bed fusion. The laser power and scan speed were controlled using the same ratio to maintain the optimal VED and achieve a fast build rate. Cube samples were manufactured using seven process parameters, including an optimal process parameter. Analysis was conducted based on changes in density and melt-pool morphology. At a low laser power and scan speed, the energy applied to the powder bed was proportional to and not . At a high laser power and scan speed, a curved track was formed due to Plateau-Rayleigh instability. However, a wide melt-pool shape and continuous track were formed, which did not significantly affect the density. We were able to verify the validity of the VED formula and succeeded in achieving a 75% higher build rate than that of the optimal parameter, with a slight decrease in density and hardness.

Most of automobile steering parts are manufactured through the multi-stage cold forging process using round-bar drawn materials. The same process is applied to the ball stud parts of the outer ball joint, and various research activities are being carried out to reduce the extreme manufacturing cost in order to survive in the limitless competition. In this paper, we present a quantitative prediction method for the limiting life of the die as a method for cost reduction in the multi-stage cold forging process. The load on the die was minimized by distributing the forming load based on process optimization through finite element analysis. In addition, based on the quantitative prediction algorithm of the limiting life of the die, the application of the split die and the optimization of the phosphate treatment of the material surface are presented as a conclusion as a method to improve the limiting life of the die.

This study studied a system that can redesign the production site layout and respond with dynamic simulation through fabric production process innovation for smart factory promotion and digital-oriented decision making of the production process. We propose to reflect the required throughput and throughput per unit facility of fabric production process as probability distribution, and to construct data-driven metabolism such as data collection, data conversion processing, data rake generation, production site monitoring and simulation utilization. In this study, we demonstrate digital-centric field decision smartization through architectural design for the smartization of fabric production plants and dynamic simulations that reflect it.

This study is to conduct the optimal design of the fluid mixing blades in the test fluid tank for sewage treatment process. The design was made with various shapes and angles of mixing blades. Fluid mixing blades in the tank are numerically analyzed with FLUENT V.13.0. Blade1 and Blade4 had the biggest fluid pressure difference of 8.1% around the blades. And, Blade1 and Blade3 had the least fluid pressure difference of 2.55%. The biggest turbulence kinetic energy of 12.5% existed around Blade1 and Blade4. Blade1 and Blade3 had the least turbulent kinetic energy difference of 4.8%. Blade4 is the optimal design shape due to the highest turbulent kinetic energy around the blades in comparison to the other cases.

Recently, the material industry in the world has started appreciating the value of new materials that can overcome the limitation of steel material. In particular, new materials are expected to play a very important role in the future industry, demonstrating superior performance compared to steel in lightweight materials and ability to maintain in high temperature environments. Carbon materials have recently increased in value due to excellent physical properties such as high strength and ultra lightweight compared to steel. However, they have not overcome the limitation of productivity and price. The carbon materials are classified into various composites depending on the purpose of use and the performance required. Typical composites include carbon-glass, carbon-carbon, and carbon-plastic composites. Among them, carbon-carbon composite technology is a necessary technology in aviation and space, and can be manufactured with high investment cost and technology. In this paper, in order to find the optimal conditions to achieve productivity improvement and cost reduction of carbon material densification process, the correlation between each process parameters and results of densification is first analyzed. The main process parameters of the densification process are selected by analyzing the correlation results. And then a certain linear relationship between major process variables and density of carbon materials is derived by performing a regression analysis based on the historical production result data. Using the derived casualty, the optimal management range of major process variables is suggested. Effective process operation through optimal management of variables will have a great effect on productivity improvement and manufacturing cost reduction by shortening the lead time.

WC-CrC-Ni coatings were prepared by nine processes of the Taguchi program with three levels for the four spray parameters: spray distance, flow rates of hydrogen and oxygen, and powder feed rate. The optimal coating process (OCP) was oxygen flow rate of 38 FMR, hydrogen flow rate of 53 FMR, powder feed rate of 25 g/min, and spray distance of 7 inches. Hardness of 1150 Hv and porosity of 1.2 %, were obtained by OCP; these are better results compared with the highest 1033 Hv and the lowest 1.5% porosity obtained by nine processes of the Taguchi program. Friction coefficient of the WC-CrC-Ni coating decreased from 0.36 ± 0.07 at 25 oC to 0.23 ± 0.07 at 450 oC. These values were smaller than those of the EHC (electrolytic hard chrome) plating at both temperatures due to lubrication from the oxide debris. The wear trace and wear depth of the coating are smaller than those of the EHC at both temperatures. Pitting was not found in the WC-CrC-Ni coating sample, while it did appear in the EHC sample.

The SMC(Sheet molding compound) process is widely used in the automotive industry to produce parts that are large, thin, lightweight, strong and stiff. Compression molded parts are formed by squeezing a glass fiber reinforced UP(Unsaturated Polyester) sheet, known as sheet mold compound(SMC), between two heated cavity surfaces. This paper has performed flow analysis to predict optimization process of low density SMC. After five types of design variables and six types of response variables were defined, DOE(Design of Experiment) and RSM (Response Surface Method) were applied in order to measure sensitivity of design variables and realize optimization through regression model. After design optimization, the total warpage of the SMC is reduced by about 12% compared to the initial design of SMC and cure time, cure temperature, clamping force and flow pressure are decreased by 0.6∼27% in comparison with the initial design. By doing this, the production costs could be diminished.

Quality design methodologies have received constituent attention from a number of researchers and practitioners for more than twenty years. Specially, the quality design for drug products must be carefully considered because of the hazards involved in the

In submicron MOSFET devices, maintaining the ratio between the channel length (L) and thechannel depth (D) at 3:1 or larger is known to be critical in preventing deleterious short-channel effects. Inthis study, n-type SOI-MOSFETs with a channel length of 0.1µm and a Si film thickness (channel depth) of0.033µm (L:D=3:1) were virtually fabricated using a TSUPREM-4 process simulator. To form functioningtransistors on the very thin Si film, a protective layer of 0.08µm-thick surface oxide was deposited prior tothe source/drain ion implantation so as to dampen the speed of the incoming As ions. The p-type boron dopingconcentration of the Si film, in which the device channel is formed, was used as the key variable in the processsimulation. The finished devices were electrically tested with a Medici device simulator. The result showedthat, for a given channel doping concentration of 1.9~2.5×1018cm−3, the threshold voltage was 0.5~0.7V, andthe subthreshold swing was 70~80mV/dec. These value ranges are all fairly reasonable and should form a‘magic region’ in which SOI-MOSFETs run optimally.

The analytic hierarchy process is known as a useful tool for the group decision making methods. This tool has been area such as investment, R&D management, manufacturing, production and marketing. Typically, transportation problems have addressed by mathematical programming. In this paper, an optimal solution of transportation problem was determined by the analytic hierarchy process.

A study to analyze and solve problems of a stone surface process experiment has presented in this paper. We have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

The purpose of this study was to evaluate the operational characteristics of wastewater treatment using Sequencing Batch Reactor (SBR) with Aerobic Granular Sludge (AGS) separator in the pilot plant. Pilot plant experiments were conducted using SBR with AGS separator and pollution removal efficiencies were evaluated based on the operational condition and surface properties of AGS. The results of the operation on water quality of the effluent showed that the average concentration of total organic carbon, suspended solids, nitrogen, and phosphorus was 6.89 mg/L, 7.33 mg/L, 7.33 mg/L, and 0.2 mg/L, respectively. All these concentrations complied the effluent standard in Korea. The concentration of mixed liquor suspended solid (MLSS) fluctuated, but the AGS/MLSS ratio was constant at 86.5±1.3%. Although the AGS/MLSS ratio was constant, sludge volume index improved. These results suggested that the particle discharged fine sludge and increased the AGS praticle size in the AGS. Optical microscopy revealed the presence of dense AGS at the end of the operation, and particles of > 0.6 mm were found. Compared to those of belt-type AGS separator, the required area and power consumption of the hydrocyclone-type AGS separator were reduced by 27.5% and 83.8%, respectively.

현재 국내에서 발생하는 음폐수의 해양투기 금지 및 음식물류 폐기물의 에너지화 정책에 따른 유기성 폐기물 육상처리의 일환으로 혐기소화를 통한 바이오가스화 시설이 지속적으로 설치 및 운영되고 있다. 그중에서도 음식물쓰레기는 처리 단가가 높고, 바이오가스 회수 잠재력 또한 높아 바이오가스화 시설의 경제성을 높여줄 유용한 폐자원으로 여겨지고 있다. 하지만 국내 발생 음식물쓰레기의 평균 고형물함량(TS)이 18~20% 수준으로 혐기소화를 통한 바이오가스화 이전에 전처리가 필수적이며, 단순 파쇄/선별을 통한 물리적 전처리만으로는 충분한 가용화가 어려운 부분이 있다. 이러한 유기성폐자원의 가용화를 위한 전처리 방법에는 가수분해/산발효를 통한 생물학적 처리, 산, 알칼리, 오존 등을 통한 화학적 처리, 초음파, 열, 압축 등에 의한 물리적 처리 등이 있는데 본 연구에서는 물리적 처리방법 중 하나인 열가수분해를 통한 음식물쓰레기의 가용화효율을 분석하였다. 이를 위해 1차로 물리적 파쇄/선별 처리한 음식물쓰레기에 대해 다양한 운전 조건(온도, 압력 변화)으로 열가수분해를 실시하여 각 운전조건별 음식물쓰레기 성상변화를 분석함으로써 음식물쓰레기 열가수분해를 위한 최적 운전조건을 도출하고자 하였다.