The Experts below are selected from a list of 49398 Experts worldwide ranked by ideXlab platform
Gang Chang - One of the best experts on this subject based on the ideXlab platform.
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Economic Parameter design for ultra fast laser micro drilling process
International Journal of Production Research, 2019Co-Authors: Jianjun Wang, Fugee Tsung, Gang ChangAbstract:The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter design. In this paper, we pr...
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Economic Parameter design for ultra-fast laser micro-drilling process
2019Co-Authors: Jianjun Wang, Fugee Tsung, Gang ChangAbstract:The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter design. In this paper, we propose a new Economic Parameter design under the framework of Bayesian modelling and optimisation. First of all, the Bayesian seemingly unrelated regression (SUR) models are utilised to develop the relationship models between input factors and output responses in the laser micro-drilling process. After that, simulated response values which reflect the real laser micro-drilling process are obtained by using the Gibbs sampling procedure. Moreover, a novel rejection cost function and a quality loss function are constructed based on the simulated responses. Finally, an optimisation scheme integrating the rejection cost (i.e. rework cost and scrap cost) function and the quality loss function is implemented by using multi-objective genetic algorithm to find feasible Economic Parameter settings for laser micro-drilling process.
Jianjun Wang - One of the best experts on this subject based on the ideXlab platform.
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Economic Parameter design for ultra fast laser micro drilling process
International Journal of Production Research, 2019Co-Authors: Jianjun Wang, Fugee Tsung, Gang ChangAbstract:The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter design. In this paper, we pr...
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Economic Parameter design for ultra-fast laser micro-drilling process
2019Co-Authors: Jianjun Wang, Fugee Tsung, Gang ChangAbstract:The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter design. In this paper, we propose a new Economic Parameter design under the framework of Bayesian modelling and optimisation. First of all, the Bayesian seemingly unrelated regression (SUR) models are utilised to develop the relationship models between input factors and output responses in the laser micro-drilling process. After that, simulated response values which reflect the real laser micro-drilling process are obtained by using the Gibbs sampling procedure. Moreover, a novel rejection cost function and a quality loss function are constructed based on the simulated responses. Finally, an optimisation scheme integrating the rejection cost (i.e. rework cost and scrap cost) function and the quality loss function is implemented by using multi-objective genetic algorithm to find feasible Economic Parameter settings for laser micro-drilling process.
Fugee Tsung - One of the best experts on this subject based on the ideXlab platform.
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Economic Parameter design for ultra fast laser micro drilling process
International Journal of Production Research, 2019Co-Authors: Jianjun Wang, Fugee Tsung, Gang ChangAbstract:The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter design. In this paper, we pr...
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Economic Parameter design for ultra-fast laser micro-drilling process
2019Co-Authors: Jianjun Wang, Fugee Tsung, Gang ChangAbstract:The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter design. In this paper, we propose a new Economic Parameter design under the framework of Bayesian modelling and optimisation. First of all, the Bayesian seemingly unrelated regression (SUR) models are utilised to develop the relationship models between input factors and output responses in the laser micro-drilling process. After that, simulated response values which reflect the real laser micro-drilling process are obtained by using the Gibbs sampling procedure. Moreover, a novel rejection cost function and a quality loss function are constructed based on the simulated responses. Finally, an optimisation scheme integrating the rejection cost (i.e. rework cost and scrap cost) function and the quality loss function is implemented by using multi-objective genetic algorithm to find feasible Economic Parameter settings for laser micro-drilling process.
D P Van Vuuren - One of the best experts on this subject based on the ideXlab platform.
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uncertainty in the deployment of carbon capture and storage ccs a sensitivity analysis to techno Economic Parameter uncertainty
International Journal of Greenhouse Gas Control, 2014Co-Authors: Barbara Sophia Koelbl, M A Van Den Broek, B J Van Ruijven, Andre Faaij, D P Van VuurenAbstract:Abstract Projections of the deployment of Carbon Capture and Storage (CCS) technologies vary considerably. Cumulative emission reductions by CCS until 2100 vary in the majority of projections of the IPCC-TAR scenarios from 220 to 2200 GtCO2. This variation is a result of uncertainty in key determinants of the baselines of different models, such as, technological development (IPCC Special Report on Carbon Dioxide Capture and Storage. Prepared by Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York). Technological key Parameters of CCS deployment are power plant efficiency and investment cost, capture cost, transport cost and storage capacity. This study provides insights in how uncertain the key Parameters are and how this influences CCS deployment projections. For each Parameter, ranges are determined on the basis of the existing literature. CCS deployment is systematically assessed for all of these Parameter ranges in a global energy system model (TIMER). The results show that investment cost uncertainty causes the largest range in cumulative CO2 captured from global electricity production (13–176 GtCO2 in 2050) in a scenario with a medium fossil fuel price level. The smallest, but still significant range of 65–91 GtCO2 cumulatively captured until 2050, is caused by the uncertainty in the efficiency of the power plant and capture unit.
Dieter Bruggemann - One of the best experts on this subject based on the ideXlab platform.
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Thermo-Economic evaluation of organic rankine cycles for geothermal power generation using zeotropic mixtures
Energies, 2015Co-Authors: Florian Heberle, Dieter BruggemannAbstract:We present a thermo-Economic evaluation of binary power plants based on the Organic Rankine Cycle (ORC) for geothermal power generation. The focus of this study is to analyse if an efficiency increase by using zeotropic mixtures as working fluid overcompensates additional requirements regarding the major power plant components. The optimization approach is compared to systems with pure media. Based on process simulations, heat exchange equipment is designed and cost estimations are performed. For heat source temperatures between 100 and 180 °C selected zeotropic mixtures lead to an increase in second law efficiency of up to 20.6% compared to pure fluids. Especially for temperatures about 160 °C, mixtures like propane/isobutane, isobutane/isopentane, or R227ea/R245fa show lower electricity generation costs compared to the most efficient pure fluid. In case of a geothermal fluid temperature of 120 °C, R227ea and propane/isobutane are cost-efficient working fluids. The uncertainties regarding fluid properties of zeotropic mixtures, mainly affect the heat exchange surface. However, the influence on the determined Economic Parameter is marginal. In general, zeotropic mixtures are a promising approach to improve the Economics of geothermal ORC systems. Additionally, the use of mixtures increases the spectrum of potential working fluids, which is important in context of present and future legal requirements considering fluorinated refrigerants.
