• Title/Summary/Keyword: selection cutting system

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Development of Expert Process Planning System for Injection Mold (사출금형의 공정설계 전문가시스템의 개발)

  • 조규갑;임주택;노형민
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.12
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    • pp.2252-2260
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    • 1992
  • This paper deals with development of expert process planning system which automatically generates process plan for manufacturing parts of injection mold. The specific domain of study is two-plate injection mold without support plate. Decision making rules for selection of machining processes machine tools, cutting tools and for determination of sequence of machining operations are acquired by interview of skilled process planner. The developed expert process planning system is programmed by using expert system shell CLIPS on the IBM PC/AT. The proposed system works well to real problems.

Concrete plug cutting using abrasive waterjet in the disposal research tunnel (연마재 워터젯을 활용한 처분터널 내 콘크리트 플러그 절삭)

  • Cha, Yohan;Kim, Geon Young;Hong, Eun-Soo;Jun, Hyung-Woo;Lee, Hang-Lo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.24 no.2
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    • pp.153-170
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    • 2022
  • Waterjet has been comprehensively used in urban areas owing to a suitable technique for cutting concrete and rock, and low noise and vibration. Recently, the abrasive waterjet technique has been adopted and applied by the Korea Atomic Energy Research Institute to demolish concrete plugging without disturbing and damaging In-situ Demonstration of Engineered Barrier System in the disposal research tunnel. In this study, the use of abrasive waterjet in the tunnel was evaluated for practical applicability and the existing cutting model was compared with the experimental results. As a variable for waterjet cutting, multi-cutting, water flow rate, abrasive flow rate, and standoff distance were selected for the diversity of analysis. As regarding the practical application, the waterjet facilitated path selection for cutting the concrete plugging and prevented additional disturbances in the periphery. The pump's noise at idling was 64.9 dB which is satisfied with the noise regulatory standard, but it exceeded the standard at ejection to air and target concrete because the experiment was performed in the tunnel space. The experimental result showed that the error between the predicted and measured cutting volume was 12~13% for the first cut and 16% for second cut. The standoff distance had a significant influence on the cutting depth and width, and the error tended to decrease with decrement of standoff distance.

An Expert System of Moulding Working for Air Intake Hose Products using 3-Dimensional Parametric Modeling Technique

  • Sang Bong Park
    • Korean Journal of Computational Design and Engineering
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    • v.3 no.3
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    • pp.168-176
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    • 1998
  • This paper deals with an application on the mould machining of air intake hose product by using 3-dimensional parametric modeling techniques. The detailed domain is the 3-dimensional product with similar shapes and different sizes which needs too much working time for preparation of modeling or machining due to making a trial and errors repeatedly. Decision making rules for selection of modeling order and technique, and for calculation of cutting conditions, and for determination of sequence and method concerning machining operations are required by interview of expert engineers in the field. The developed expert system of modeling and machining is programmed by using a user programming language under the CAD/CAM software of the Personal Designer. The developed system that aids a mould engineer who is working in the modeling and machining section which deal with air intake hose product provides strong and useful capabilities.

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Sensing Technologies for Grain Crop Yield Monitoring Systems: A Review

  • Chung, Sun-Ok;Choi, Moon-Chan;Lee, Kyu-Ho;Kim, Yong-Joo;Hong, Soon-Jung;Li, Minzan
    • Journal of Biosystems Engineering
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    • v.41 no.4
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    • pp.408-417
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    • 2016
  • Purpose: Yield monitoring systems are an essential component of precision agriculture. They indicate the spatial variability of crop yield in fields, and have become an important factor in modern harvesters. The objective of this paper was to review research trends related to yield monitoring sensors for grain crops. Methods: The literature was reviewed for research on the major sensing components of grain yield monitoring systems. These major components included grain flow sensors, moisture content sensors, and cutting width sensors. Sensors were classified by sensing principle and type, and their performance was also reviewed. Results: The main targeted harvesting grain crops were rice, wheat, corn, barley, and grain sorghum. Grain flow sensors were classified into mass flow and volume flow methods. Mass flow sensors were mounted primarily at the clean grain elevator head or under the grain tank, and volume flow sensors were mounted at the head or in the middle of the elevator. Mass flow methods used weighing, force impact, and radiometric approaches, some of which resulted in measurement error levels lower than 5% ($R^2=0.99$). Volume flow methods included paddle wheel type and optical type, and in the best cases produced error levels lower than 3%. Grain moisture content sensing was in many cases achieved using capacitive modules. In some cases, errors were lower than 1%. Cutting width was measured by ultrasonic distance sensors mounted at both sides of the header dividers, and the errors were in some cases lower than 5%. Conclusions: The design and fabrication of an integrated yield monitoring system for a target crop would be affected by the selection of a sensing approach, as well as the layout and mounting of the sensors. For accurate estimation of yield, signal processing and correction measures should be also implemented.

Changes in Stand Structures Before and After Silvicultural Treatments in Natural Deciduous Forests of Pyungchang Area (평창지역 천연 활엽수림의 작업방법별 시업전후 임분구조 변화)

  • Kim, Yong Jin;Sung, Joo Han;Yang, Hee Moon;Shin, Man Yong
    • Journal of Korean Society of Forest Science
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    • v.101 no.2
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    • pp.297-304
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    • 2012
  • The objective of this study was to estimate the changes of stand structure before and after applying the three different silvicultural treatments such as selection cutting system, two-storied system, and shelterwood system. This study has been conducted in the natural deciduous forests in Pyungchang of Gangwon Province, Korea. Three permanent sampling plots of 0.09 ha were established in the forests and the three silvicultural treatments were applied in 2008. For this study, some tree variables were measured in each stand before and after the silvicultural treatments were applied. With these data, stand attributes were estimated in each stand before and after the silvicultural treatments. In this study, four stand structure indices were used to analyze the differences among structures of stands managed by three different silvicultural treatments. Contagion index, DBH-difference index, height-difference index, and mingling index were estimated and compared to analyze the differences of stand structures among the stands before and after silvicultural treatments. Duncan's multiple range test and t-test were then employed to statistically analyze the difference of stand structure among the stands. The results revealed that all of the stand structure indices seem to be increased after applying the silvicultural treatments. There are significant differences in the stand structure indices between before and after silvicultural treatments for each stand. According to the evaluation of stand structure indices, it was confirmed that spatial structure of the stands was improved by applying the silvicultural treatments. For attaining the specific goal of each stand types acquired by different silvicultural treatments, the frequencies and amounts of additional practices should be decided based on the changes of stand structure as time passed.

Optimum Design of Formed Tool for Die of Bearing Rubber Seal Using Design of Experiments (실험계획법에 의한 자동차용 러버실 금형가공을 위한 총형공구의 최적설계)

  • Lee, Li-Hai;Lim, Pyo;Lee, Hi-Koan;Yang, Gyun-Eui
    • Transactions of the Korean Society of Automotive Engineers
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    • v.15 no.4
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    • pp.47-53
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    • 2007
  • A bearing is one of core parts in automobile. Rubber seal of the bearing is important to improve performance of bearing, formed by hot-press die of rubber seal for the intricate shape. In this study, formed tools are used to machine die of bearing rubber seal and the machining operation is classified into the several process of high precision. Design of experiments is used to optimize selection of the formed tools for the efficient machining of the hot-press die. The cutting force, tool wear and tool life are determined to characteristics. And, the clearance angle, the rake angle and the length cutting edge are considered as the major factors. Experiments are repeated to use one-way factorial design, and tool life is predicted by regression model.

Assessment of Stand Diversity Change by Different Silvicultural Treatments for Natural Deciduous Forests in Mt. Gariwang (가리왕산 일대 천연 활엽수림의 산림작업별 시업전후의 임분다양성 변화 평가)

  • Sung, Joo Han;Lee, Young Geun;Park, Ko Eun;Shin, Man Yong
    • Journal of Korean Society of Forest Science
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    • v.103 no.4
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    • pp.613-621
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    • 2014
  • This study was conducted to estimate the changes of stand diversity before and after applying three different silvicultural treatments such as selection cutting system, two-storied system, and shelterwood system. Data were collected in the natural deciduous forests in Pyungchang of Gangwon Province, Korea. Nine permanent sampling plots of 0.09 ha were established in the forests and the each of silvicultural treatments was applied to three sampling plots, respectively. Some tree variables were measured in each stand before and after the silvicultural treatments were applied. With these data, stand attributes were estimated in each stand before and after the silvicultural treatments. In this study, two different indices related to each of stand diversity indices such as contagion, DBH-difference, height-difference, and mingling were estimated and compared to analyze the differences of stand diversity among the stands before and after silvicultural treatments. As a result, total eight stand diversity indices were used to analyze the differences among structures of stands managed by three different silvicultural treatments. Duncan's multiple range test and t-test were then employed to statistically analyze the difference of stand diversity among the stands. The results revealed that stand structures seem to be improved after applying the silvicultural treatments. There are significant differences in the stand diversity indices between before and after silvicultural treatments for each stand. According to the evaluation of stand diversity indices, it was confirmed that spatial structure of the stands was improved by applying the silvicultural treatments.

A study on the PBL Application Scheme for Optimal Maintenance of the KF-X Project (한국형전투기(KF-X)의 최적정비를 위한 PBL 적용방안에 관한 연구)

  • Park, Keun-Seog;Yoo, Yong-Hyun
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.24 no.3
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    • pp.10-18
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    • 2016
  • This paper deals with the Performance Based Logistics(PBL) application scheme pertaining to optimal maintenance program for logistics of Korean Fighter Experimental(KF-X) Project. For enhancement of the performance based logistics system application to KF-X program the selection of appropriate standards fit to maximize cost-cutting, a set of performance metrics fit for the purpose of the contract, foreign technology dependence of core equipments and parts were considered. Thus, selecting appropriate standards fit for Korean logistics environment, domestic maintenance enterprise for stable rate of operation of KF-X, a systematic reliability task that is able to measure quantitative combat capability are suggested.

Lasers and Robots: Recent Developments in Transoral Laser and Transoral Robotic Surgery

  • Padalhin, Andrew Reyes
    • Medical Lasers
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    • v.9 no.2
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    • pp.103-109
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    • 2020
  • Transoral microsurgery has come a long way as a go-to surgical intervention technique for head and neck cancers. This minimally invasive procedure had gained acceptance through comparative clinical studies against radical neck surgical procedures, radiotherapy, and chemotherapy. Laser technology has vastly improved the oncological outcomes of this procedure and brought about an appreciation of transoral laser surgery (TLM) as a mainstay for re-sectioning malignant tumors along the throat. As an established procedure, TLM has undergone several upgrades regarding the different energy devices used for cutting, ablation, and hemostasis. Continued advances in automation have eventually led to surgical robotics, resulting in the emergence of transoral robotic surgery (TORS) as a viable advanced alternative for TLM. Similarly, expansions and enhancements (image-based guidance, fluorescence spectroscopy, and advanced robotic system) have also been investigated as potential upgrades for TORS. This paper reviews a selection of publications on the significant technological advancements to TLM and TORS over the past five years.

Naval Vessel Spare Parts Demand Forecasting Using Data Mining (데이터마이닝을 활용한 해군함정 수리부속 수요예측)

  • Yoon, Hyunmin;Kim, Suhwan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.253-259
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    • 2017
  • Recent development in science and technology has modernized the weapon system of ROKN (Republic Of Korea Navy). Although the cost of purchasing, operating and maintaining the cutting-edge weapon systems has been increased significantly, the national defense expenditure is under a tight budget constraint. In order to maintain the availability of ships with low cost, we need accurate demand forecasts for spare parts. We attempted to find consumption pattern using data mining techniques. First we gathered a large amount of component consumption data through the DELIIS (Defense Logistics Intergrated Information System). Through data collection, we obtained 42 variables such as annual consumption quantity, ASL selection quantity, order-relase ratio. The objective variable is the quantity of spare parts purchased in f-year and MSE (Mean squared error) is used as the predictive power measure. To construct an optimal demand forecasting model, regression tree model, randomforest model, neural network model, and linear regression model were used as data mining techniques. The open software R was used for model construction. The results show that randomforest model is the best value of MSE. The important variables utilized in all models are consumption quantity, ASL selection quantity and order-release rate. The data related to the demand forecast of spare parts in the DELIIS was collected and the demand for the spare parts was estimated by using the data mining technique. Our approach shows improved performance in demand forecasting with higher accuracy then previous work. Also data mining can be used to identify variables that are related to demand forecasting.