• Title/Summary/Keyword: Estimation of Productivity

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Control of a CNC Machining Center Using the Indirect Measurement of the Cutting Force (절삭력 간접 측정을 이용한 CNC공작기계 제어)

  • 송진일;손주형;권동수;김성권
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.11
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    • pp.9-20
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    • 1998
  • In recent manufacturing process, the increase of productivity has been attempted by reducing machining time with the increase of cutting force. However, the excessive increase of cutting force can cause tool breakage and have a bad effect on both manufacturing machine and workpiece. Thus, it is necessary to estimate and control the cutting force in real time during the process. In this study, use of disturbance observer is proposed for the indirect cutting force estimation. The estimated cutting force is used for the real-time control of feedrate, making the actual cutting force follow the reference force command. Since the suggested method does not need an expensive sensor like a dynamometer, the method is expected to be used practically. Since the actual cutting force follow the reference force, resulting the reducing of the machining time the increase of productivity are also expected, and the quality of cutting surface has been improved due to the adjusted feedrate. Besides, an actual constant cutting force guarantees the prevention of tool breakage. To show the effectiveness of the suggested cutting force control method, an experimental setup has been made without sensor and applied to several workpieces. Experiments show that the suggested method is effective to cutting force control of a CNC machining center.

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Development of Statistical Model for Line Width Estimation in Laser Micro Material Processing Using Optical Sensor (레이저 미세 가공 공정에서 광센서를 이용한 선폭 예측을 위한 통계적 모델의 개발)

  • Park Young Whan;Rhee Sehun
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.7 s.172
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    • pp.27-37
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    • 2005
  • Direct writing technology on the silicon wafer surface is used to reduce the size of the chip as the miniature trend in electronic circuit. In order to improve the productivity and efficiency, the real time quality estimation is very important in each semiconductor process. In laser marking, marking quality is determined by readability which is dependant on the contrast of surface, the line width, and the melting depth. Many researchers have tried to find theoretical and numerical estimation models fur groove geometry. However, these models are limited to be applied to the real system. In this study, the estimation system for the line width during the laser marking was proposed by process monitoring method. The light intensity emitted by plasma which is produced when irradiating the laser to the silicon wafer was measured using the optical sensor. Because the laser marking is too fast to measure with external sensor, we build up the coaxial monitoring system. Analysis for the correlation between the acquired signals and the line width according to the change of laser power was carried out. Also, we developed the models enabling the estimation of line width of the laser marking through the statistical regression models and may see that their estimating performances were excellent.

A Study of a Hydraulic Excavator's Test to Verify of Payload Estimation by Bucket's Motion Equation (유압 굴착기 실험을 통한 작업량 추정법 확인에 관한 연구)

  • Jeong, Hwang Hun;Lee, Min Su;Shin, Young Il
    • Journal of Drive and Control
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    • v.19 no.2
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    • pp.11-16
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    • 2022
  • It is important to measure the excavator's work productivity that estimates the bucket's payloads on a process. If the bucket isn't filled at every working cycle, the excavator's operator has to drive the machine more to achieve his work quota. If bucket is filled over with the load, the other way around, the transferred object has to spread out on the workplace. That causes additional work to clean the site. This paper proposes a method that can estimate the bucket's payload to improve the excavator's work productivity. This method assumes that the excavator is a lumped mass system. And it uses a 3 points angle (boom link, arm link, swing) and 2 points pressure (boom cylinder's input port and output port) of measurable data. Depending on assumptions, the bucket's payload can be calculated by the payload's motion equation. And this suggested method can be verified by simple experiments.

Empirical Analysis on the Estimation of Total Factor Productivity and its Determinants in the Korean Manufacturing and Service Industries (한국의 총요소생산성 추정과 생산성 결정요인에 관한 실증연구)

  • Zhu, Yan Hua
    • International Area Studies Review
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    • v.22 no.4
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    • pp.19-35
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    • 2018
  • This paper is to estimate the total factor productivity(TFP) in the Korean manufacturing and service industries during the period 1975:1-2016:4 using the stochastic frontier analysis model. In order to analyze the determinants for the total factor productivity the paper estimates the industry-specific determinant elasticities of TFP using the autoregressive distributed model. The industry-specific determinants, which reflect the industrial structure and properties include markup, the ratio of capital to labor(KL), and the ratio of foreign intermediate goods (FIG) to industrial output. The average value for total factor productivity growth was estimated to be 0.0199 in manufacturing and 0.0063 in the service industry. The markup and KL elasticities of TFP were estimated to be 2.481 and 0.651 in manufacturing respectively and -1.403 and 0.042 in the service industry respectively. The empirical results suggest that the industrial markup and the ratio of capital to labor have had decisive effects on the changes in the total factor productivity in the Korean manufacturing and service industries during the period 1975:1-2016:4.

Estimation and adequacy of dentist supply through the dental care productivity (생산성을 고려한 치과의사의 공급 추계와 적정성)

  • Son, Se-Ho;Cho, Hyun-Jae;Kim, Hyun-Duck
    • The Journal of the Korean dental association
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    • v.58 no.2
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    • pp.68-82
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    • 2020
  • Running title: Adequacy of dentist supply Objectives: The proper provision of dentists is very important for delivering the dental care that people need. The purpose of this study is to evaluate the adequacy of dentist supply and to predict the proper supply of dentists in Korea for the next 10 years. Methods and materials: Using the data from 2004 to 2017 in the Statictics Korea, the dental needs were measured as days of admission and the annual total dental care hours in 2020, 2023, 2026 and 2030 were predticted using regression analysis. The dental care productivity (average in-office hours) of dentists was analyzed using regression analysis including age, gender, education level and region as a confounder. The annual care hours were predicted according to seven scenarios based on the percentage of women among dentists, post-dentist education levels, the percentage of dentists in the metropolitan area, aging and retirement age. Results: The needed dentist based on the data in the Statictics Korea will be 27, 288 ~ 27, 311 in 2020, 28,104 ~ 28,1785 in 2023, 28,977 ~ 29,124 in 2026, and 30,174 ~ 30,413 in 2030. On the other hand, the number of dentists in Korea will be 26,945 in 2020, 28,813 in 2023, 30,682 in 2026 and 33,173 in 2030. The adequacy index of dentist supply will be -0.01 in 2020 to +0.10 in 2030. Conclusions: Our data showed that dentists will be adequately supplied in Korea for the next 10 years. Overall, the ratio between dentist versus 1,000 Koreans will be increased from 0.5 in 2019 to 0.7 in 2020, which will meet the mean of OECD countries.

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Estimation of Carrying Capacity by Food Availability for Farming Oysters in Goseong Bay, Korea (먹이가용성에 의한 고성만의 굴 양식장 수용력)

  • Lee, Sang-Jun;Jeong, Woo-Geon;Cho, Sang-Man;Kwon, Jung No
    • The Korean Journal of Malacology
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    • v.32 no.2
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    • pp.83-93
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    • 2016
  • For the continuous stable production of oyster, estimation of food availability (F) was carried out in Goseong Bay, south of coast Korea. Primary productivity ranged from 0.07 to $0.44gC/m^2/day$ (average $0.25gC/m^2/day$), lowest in July and highest in January. The distribution of primary productivity at Goseong Bay showed the pattern of "high in the south and low in the north." Food availability (F) was $F{\leq}0$, indicating insufficient food supply, from August to November and F > 0 from January to April. Continuous insufficient food supply was observed at 18 oyster farms in the southern part of the bay and 4 in its northern part. Mortality at the oyster farms was 56% on the average, and around 58% of death occurred during November when food supply was insufficient. The optimal population of cultured oyster per unit flow area was calculated to be $110-115indiv./m^2$ (198-201 indiv./string). When the sea area was divided into 3 regions (A, B, C) according to carrying capacity, the carrying capacity of (A) regions was $52-53indiv./m^2$ (93-95 indiv./string), (B) regions was $142-144indiv./m^2$ (255-259 indiv./string), and (C) regions was $198-202indiv./m^2$ (356-363 indiv./string). In particular, (A) regions showed extremely low productivity. For continuous stable oyster farming at Goseong Bay, it is necessary to control point and non-point source pollution through continuous environmental monitoring and to adjust harvest according to the base carrying capacity during the season of high water temperature.

The Design of Manufacturing Process Optimization for Aluminum Laser Welding using Remote Scanner (원격 스캐너를 이용한 알루미늄 레이저 용접에 대한 생산 공정 최적화 설계)

  • Kim, Dong-Yoon;Park, Young-Whan
    • Journal of Welding and Joining
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    • v.29 no.6
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    • pp.82-87
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    • 2011
  • In this study, we conducted laser welding by using remote scanner that is 5J32 aluminum alloy to observe the mechanical properties and optimize welding process parameters. As the control factors, laser incident angle, laser power and welding speed were set and as the result of weldablility, tensile shear tests were performed. ANOVA (Analysis of Variation) was also carried out to identify the influence of process variables on tensile shear strength. Strength estimation models were suggested using regression alnalysis and 2nd order polynomial model had the best estimation performance. In addition optimal welding condition was determined in terms with wedalility and productivity using objective function and fitness function. Final optimized welding condition was laser power was 4 kW, and welding speed was 4.6 m/min.

A Proposal of BIL for Reasonable Cost Estimation of Mechanical Contracts and Construction in Design Phases (설계단계에서 적정 기계설비 공사비 산정을 위한 BIM 정보표현수준(BIL) 개선안)

  • Park, Bo Sung;Kim, Sean Hay
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.29 no.12
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    • pp.663-672
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    • 2017
  • Building information modeling (BIM) technology based on 3D modeling has been applied to the entire domestic construction industry since 2010. It can calculate quantity take-off considering construction productivity at design phase. Based on this, it is possible to improve the reliability of construction cost prediction of design phase in the process of cost estimation. However, Building Information Level (BIL) defined by Ministry of Land, Infrastructure and Transport and Public Procurement Service does not seem to offer doable environment due to the lack of detailed application items. By calculating construction cost that meets Construction Cost Estimate Accuracy by American Association of Cost Engineers (AACE) through quantity take-off and cost estimation based on 3D modeling of BIM technology, a BIL improvement proposal at design phase for Mechanical Contracts and Construction is provided here. Results showed that properties including outline and minimum specification of the main equipment, internal main piping, and internal main duct should be defined from the intermediate design phase to have reliable cost estimation.

Machining time estimation of sculptured surfaces using NC block distributions (NC 블록 분포를 이용한 자유곡면의 가공시간 예측)

  • Heo, Eun-Young;Park, Seon-Young;Kim, Bo-Hyun;Kim, Dong-Won
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.48-51
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    • 2004
  • The estimation of NC machining time is of significance since it provides shop floor engineers with information for the determination of the productivity of the floor as well as process schedules. The NC machining time commonly depends on NC programs since they have various important information such as tool positions, feed rates, and other miscellaneous functions. Thus, nominal NC machining time can be easily acquired based on the programs. Actual machining time, however, cannot be simply obtained because of the dynamic characteristics of a NC machine controller such as acceleration and deceleration. Hence, this study presents a NC machine time estimation model for sculptured surfaces, considering the dynamic characteristics. The estimation model uses the distribution of NC blocks according to a factor influencing the machining time. Finally, machining time is estimated by a statistical machining time estimation model representing the relationship between the block distribution and the machining time. The parameters in the model are searched out by a genetic algorithm.

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