• Title/Summary/Keyword: objective response

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OPTIMIZATION OF WELDING PARAMETERS FOR RESISTANCE SPOT WELDING OF TRIP STEEL USING RESPONSE SURFACE METHODOLOGY

  • Park, Hyunsung;Kim, Taehyung;Sehun Rhee
    • Proceedings of the KWS Conference
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    • 2002.10a
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    • pp.366-371
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    • 2002
  • Because of the environmental problems, automotive companies are trying to reduce the weight of car body. Therefore, TRIP(TRansformation Induced Plasticity) steels, which have high strength and ductility have been developed. Welding process is a complex process; therefore deciding the optimal welding conditions on the basis of experimental data is an effective method. However, trial-and-error method to decide the optimal conditions requires too many experiments. To overcome these problems, response surface methodology was used. Response surface methodology is a collection of mathematical and statistical techniques that are used in the modeling and analysis of problems in which a response of interest is influenced by several variables and the objective is to optimize this response. This method was applied to the resistance spot welding process of the TRIP steel to optimize the welding parameters.

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Designs for Improving Mean Response

  • Park, Joong-Yang;Suh, Euy-Hoon;Ahn, Sung-Jin
    • Journal of Korean Society for Quality Management
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    • v.23 no.3
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    • pp.102-112
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    • 1995
  • Estimation of each of mean response, difference between mean responses and derivatives of the response function is a possible objective of a response surface design. These objectives are to be achieved simultaneously when an experiment is designed to improve mean response. For the situations where departure from the assumed model is suspected, first and second order designs for improving mean response are obtained by combining minimum bias designs for the individual design objectives. D- and A-optimalities are used for selecting specific second order designs. The results are applied to central composite designs.

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Relationships between Sleepiness, Stress Response, and Anxiety Symptoms of Students in a University (대학생의 주간 졸림과 스트레스, 불안과의 관련성)

  • Kim, Pu Yong;Ryu, Seuk Hwan
    • Anxiety and mood
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    • v.10 no.2
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    • pp.137-142
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    • 2014
  • Objective : The aim of this study was to investigate the relationship among daytime sleepiness, depressive symptoms, anxiety symptoms, and stress response of students in a university Methods : A total of 557 students were recruited in this study. The participants filled out stress response inventory, Epworth sleepiness scale, overall anxiety severity and impairment scale, and quality of life scale. Results : Excessive daytime sleepiness group showed higher scores in all factors in stress response inventory, overall anxiety severity and impairment scale, and quality of life scale. Sleepiness might be correlated with somatization and depression and anger in Stress response inventory. Conclusion : Excessive daytime sleepiness group exhibited poor quality of life scale. Screening about overall quality of sleep, such as mood and anxiety should be considered for students in a university.

Optimization of Welding Parameters for Resistance Spot Welding of Trip Steel Using Response Surface Methodology

  • Park, H.;Kim, T.;Rhee, S.
    • International Journal of Korean Welding Society
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    • v.2 no.2
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    • pp.47-50
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    • 2002
  • Because of the environmental problems, automotive companies are trying to reduce the weight of car body. Therefore, TRIP(TRansformation Induced Plasticity) steels, which have high strength and ductility have been developed. Welding process is a complex process; therefore deciding the optimal welding conditions on the basis of experimental data is an effective method. However, trial-and-error method to decide the optimal conditions requires too many experiments. To overcome these problems, response surface methodology was used. Response surface methodology is a collection of mathematical and statistical techniques that are used in the modeling and analysis of problems in which a response of interest is influenced by several variables and the objective is to optimize this response. This method was applied to the resistance spot welding process of the TRIP steel to optimize the welding parameters.

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Circulating Lymphocytes as Predictors of Sensitivity to Preoperative Chemoradiotherapy in Rectal Cancer Cases

  • Dou, Xue;Wang, Ren-Ben;Yan, Hong-Jiang;Jiang, Shu-Mei;Meng, Xiang-Jiao;Zhu, Kun-Li;Xu, Xiao-Qing;Mu, Dian-Bin
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.6
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    • pp.3881-3885
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    • 2013
  • Objective: The objective of this study was to identify clinical predictive factors for tumor response after neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC). Methods: All factors were evaluated in 88 patients with LARC treated with nCRT. After a long period of 4-8 weeks of chemoradiotherapy, 3 patients achieved clinical complete response (cCR) and thus aggressive surgery was avoided, and the remaining 85 patients underwent a curative-intent operation. The response to nCRT was evaluated by tumor regression grade (TRG) system. Results: There were 32 patients (36.4%) with good tumor regression (TRG 3-4) and 56 (63.6%) with poor tumor regression (TRG 0-2). Lymphocyte counts and ratios were higher in good response cases (P=0.01, 0.03, respectively) while neutrophil ratios and N/L ratios were higher in poor response cases (P=0.04, 0.02, respectively). High lymphocyte ratios before nCRT and good tumor regression (TRG3-4) were significantly associated with improved 5-year disease-free survival (P<0.05). Pretreatment nodal status was also significantly associated with 5-year disease-free survival and 5-year overall survival (P<0.05). Multivariate analysis confirmed that the pretreatment lymphocyte ratio and lymph nodal status were independent prognostic factors. Conclusion: Our study suggested that LARC patients with high lymphocyte ratios before nCRT would have good tumor response and high 5-year DFS and OS.

Modal Strain Energy-based Damage Monitoring in Beam Structures using PZT's Direct Piezoelectric Response (PZT 소자의 정압전 응답을 이용한 보 구조물의 모드 변형에너지기반 손상 모니터링)

  • Ho, Duc-Duy;Lee, Po-Young;Kim, Jeong-Tae
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.25 no.1
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    • pp.91-99
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    • 2012
  • The main objective of this study is to examine the feasibility of using lead zirconate titanate (PZT)'s direct piezoelectric response as vibrational feature for damage monitoring in beam structures. For the purpose, modal strain energy (MSE)-based damage monitoring in beam structures using dynamic strain response based on the direct piezoelectric effect of PZT sensor is proposed in this paper. The following approaches are used to achieve the objective. First, the theoretical background of PZT's direct piezoelectric effect for dynamic strain response is presented. Next, the damage monitoring method that utilizes the change in MSE to locate of damage in beam structures is outlined. For validation, forced vibration tests are carried out on lab-scale cantilever beam. For several damage scenarios, dynamic responses are measured by three different sensor types (accelerometer, PZT sensor and electrical strain gage) and damage monitoring tasks are performed thereafter. The performance of PZT's direct piezoelectric response for MSE-based damage monitoring is evaluated by comparing the damage localization results from the three sensor types.

Optimal Design for the Thermal Deformation of Disk Brake by Using Design of Experiments and Finite Element Analysis (실험계획법과 유한요소해석에 의한 디스크 브레이크의 열변형 최적설계)

  • Lee, Tae-Hui;Lee, Gwang-Gi;Jeong, Sang-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.12
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    • pp.1960-1965
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    • 2001
  • In the practical design, it is important to extract the design space information of a complex system in order to optimize the design because the design contains huge amount of design conflicts in general. In this research FEA (finite element analysis) has been successfully implemented and integrated with a statistical approach such as DOE (design of experiments) based RSM (response surface model) to optimize the thermal deformation of an automotive disk brake. The DOE is used for exploring the engineer's design space and for building the RSM in order to facilitate the effective solution of multi-objective optimization problems. The RSM is utilized as an efficient means to rapidly model the trade-off among many conflicting goals existed in the FEA applications. To reduce the computational burden associated with the FEA, the second-order regression models are generated to derive the objective functions and constraints. In this approach, the multiple objective functions and constraints represented by RSM are solved using the sequential quadratic programming to archive the optimal design of disk brake.

Efficacy of Mannatide Combined with Sodium Cantharidate Vitamin B6 in the Treatment of Malignant Pleural Effusions

  • Wang, Li-Zhi;Zhang, Hong-Juan;Song, Ji
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.9
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    • pp.3913-3916
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    • 2015
  • Objective: To evaluate the efficacy of mannatide combined with sodium cantharidate vitamin B6 in the treatment of malignant pleural effusions. Materials and Methods: Data for 69 patients with malignant pleural effusions who did not receive systemic chemotherapy were collected. Injection into the thorax using mannatide combined with sodium cantharidate vitamin B6 was performed for 37 patients in the experimental group and mannatide combined with cisplatin for 32 patients in the control group. Objective responses, KPS (Karnofsky Scoring) and incidences of side effects between the two groups were compared. Results: 13 patients reached CR (complete response) and 11 PR (partial response) in the experimental group, while 12 patients reached CR and 9 PR in the control group, the difference in overall objective responses between the two groups not being significant (66.7% vs 63.6%, p=0.806). However, improvement of KPS in the experimental group wasgreater than in the control group; total side-effect incidences during the period of treatment were 22.2% (8/36) and 54.5% (18/33), respectively (p=0.006). Conclusions: Regimen of mannatide combined with sodium cantharidate vitamin B6 had better improvement in quality-of-life and symptom relief, with a lower side-effect incidence in treatment of malignant pleural effusions.

Optimum Design of Integer and Fractional-Order PID Controllers for Boost Converter Using SPEA Look-up Tables

  • Amirahmadi, Ahmadreza;Rafiei, Mohammadreza;Tehrani, Kambiz;Griva, Giovanni;Batarseh, Issa
    • Journal of Power Electronics
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    • v.15 no.1
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    • pp.160-176
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    • 2015
  • This paper presents a method of designing optimal integer- and fractional-order proportional-integral-derivative (FOPID) controllers for a boost converter to gain a set of favorable characteristics at various operating points. A Pareto-based multi-objective optimization approach called strength Pareto evolutionary algorithm (SPEA) is used to obtain fast and low overshoot start-up and dynamic responses and switching stability. The optimization approach generates a set of optimal gains called Pareto set, which corresponds to a Pareto front. The Pareto front is a set of optimal results for objective functions. These results provide designers with a trade-off look-up table, in which they can easily choose any of the optimal gains based on design requirements. The SPEA also overcomes the difficulties of tuning the FOPID controller, which is an extension to the classic integer-order PID controllers and potentially promises better results. The proposed optimized FOPID controller provides an excellent start-up response and the desired dynamic response. This paper presents a detailed comparison of the optimum integer- and the fractional-order PID controllers. Extensive simulation and experimental results prove the superiority of the proposed design methodology to achieve a wide set of desired technical goals.

Multi-Objective Optimization Study of Blast Wall Installation for Mitigation of Damage to Hydrogen Handling Facility (수소 취급시설 피해 저감을 위한 방호벽 설치 다목적 최적화 연구)

  • Se Hyeon Oh;Seung Hyo An;Eun Hee Kim;Byung Chol Ma
    • Journal of the Korean Society of Safety
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    • v.38 no.6
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    • pp.9-15
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    • 2023
  • Hydrogen is gaining attention as a sustainable and renewable energy source, potentially replacing fossil fuels. Its high diffusivity, wide flammable range, and low ignition energy make it prone to ignition even with minimal friction, potentially leading to fire and explosion risks. Workplaces manage ignition risks by classifying areas with explosive atmospheres. However, the effective installation of a blast wall can significantly limit the spread of hydrogen, thereby enhancing workplace safety. To optimize the wall installation of this barrier, we employed the response surface methodology (RSM), considering variables such as wall distance, height, and width. We performed 17 simulations using the Box-Behnken design, conducted using FLACS software. This process yielded two objective functions: explosion likelihood near the barrier and explosion overpressure affecting the blast wall. We successfully achieved the optimal solution using multi-objective optimization for these two functions. We validated the optimal solution through verification simulations to ensure reliability, maintaining a margin of error of 5%. We anticipated that this method would efficiently determine the most effective installation of a blast wall while enhancing workplace safety.