Fibre optical sensors technology is widely employed for structural health monitoring of civil engineering structures, mainly existing structures, to guarantee a proper structural safety level. This research proposes a...
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Large-scale integration of wind power brings new challenges to the frequency stability of traditional power systems. The use of battery has become increasingly mature for frequency control. Recently, battolyser as a b...
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Various novel technologies are currently under development aimed at improving bio-methane output to tackle challenges related to process stability, biogas production, and methane quality in the anaerobic digestion (AD...
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Surface-mount technology (SMT) is the technology used in the production of printed circuit boards (PCB) plays a vital role in PCB manufacturing for applications ranging from communication devices to medical systems. A...
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Deployment of robots in dynamic environments requires reactive trajectory generation. While optimization-based methods, such as Model Predictive control focus on constraint verificaction, Geometric Fabrics offer a com...
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In the practical industrial field, optimizing parameter configurations during factory operations is an indispensable step, especially for multi-objective optimization problems (MOPs) that involve high computational, e...
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control charts(CCs)are one of the main tools in Statistical processcontrol that have been widely adopted in manufacturing sectors as an effective strategy for malfunction detection throughout the previous *** errors(...
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control charts(CCs)are one of the main tools in Statistical processcontrol that have been widely adopted in manufacturing sectors as an effective strategy for malfunction detection throughout the previous *** errors(M.E’s)are involved in the quality characteristic of interest,which can effect the CC’s *** authors explored the impact of a linearmodel with additive covariate M.E on the multivariate cumulative sum(CUSUM)CC for a specific kind of data known as compositional data(CoDa).The average run length(ARL)is used to assess the performance of the proposed *** results indicate that M.E’s significantly affects themultivariate *** authors haveused theMarkov chainmethod to study the impact of different involved parameters using six different cases for the variance-covariance matrix(VCM)(i.e.,uncorrelated with equal variances,uncorrelated with unequal variances,positively correlated with equal variances,positively correlated with unequal variances,negatively correlatedwith equal variances and negatively correlated with unequal variances).The authors concluded that the error VCM has a negative impact on the performance of themultivariate CUSUM-CoDa CC,as the ARL increases with an increase in the value of the error *** subgroup size m and powering operator b positively impact the proposed CC,as the ARL decreases with an increase in m or *** number of variables p also has a negative impact on the performance of the proposed CC,as the values of ARL increase with an increase in *** the implementation of the proposal,two illustrated examples have been reported formultivariate CUSUM-CoDaCCs inthe presence ofM.E’*** themanufacturingprocessof uncoated aspirin tablets,and the other is based on monitoring the machines involved in the muesli manufacturing process.
Steel production scheduling represents a pivotal aspect of the steel manufacturing process, encompassing the strategic allocation of resources and the optimization of productionprocesses. This directly impacts the ef...
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Owing to its exceptional casting performance,substantial utilization of recycled sand,and environmen-tally sustainable characteristics,frozen sand mold casting technology has found extensive application across diverse...
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Owing to its exceptional casting performance,substantial utilization of recycled sand,and environmen-tally sustainable characteristics,frozen sand mold casting technology has found extensive application across diverse sectors,including aerospace,power machinery,and the automotive *** focus of the present study was on the development of frozen sand mold formulations tailored for efficient machin-ing,guided by the performance and cutting fracture mechanism of frozen sand molds.A regional tem-perature control device was developed for the purpose of conducting cryogenic cutting experiments on frozen sand molds with varying geometrical characteristics and molding *** impact of milling process parameters on the dimension accuracy of both sand molds and castings,as well as castings’surface roughness,were systematically investigated by a whole-process error flow control *** findings indicate that precise and efficient processing of complicated sand molds was achievable by using sand particles with sizes ranging from 106 to 212μm,and water content between 4 and 5 wt.%,freezing temperature below-25℃,and cutting temperature within the range of-5 to 0℃.Through the frozen-casting of representative components,it was validated that the machining error of the frozen sand mold was within±0.25 ***,the dimensional accuracy of the flywheel shell casting conformed to the CT8 *** study provides theoretical guidance for the selection of frozen-casting sand formulations and close-loop control of process size chains for complex metal parts,as well as an overall solution for the realization of sustainable development of green casting.
Herein we study the economic performance of hydrochar and synthetic natural gas coproduction from olive tree *** process entails a combination of hydrothermal carbonization and *** a previous work,we evidenced that st...
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Herein we study the economic performance of hydrochar and synthetic natural gas coproduction from olive tree *** process entails a combination of hydrothermal carbonization and *** a previous work,we evidenced that standalone hydrochar production via HTC results ***,we propose a step forward on the process design by implementing a methanation,adding value to the gas effluent in an attempt to boost the overall process techno-economic *** different plant capacities were analyzed(312.5,625 and 1250 kg/hr).The baseline scenarios showed that,under the current circumstances,our circular economy strategy in *** analysis of the revenues shows that hydrochar selling price have a high impact on NPV and subsidies for renewable coal production could help to boost the profitability of the *** the contrary,the analysis for natural gas prices reveals that prices 8 times higher than the current ones in Spain must be achieved to reach *** seems unlikely even under the presence of a strong subsidy *** costs analysis suggests that a remarkable electricity cost reduction or electricity consumption of the HTC stage could be a potential strategy to reach profitability ***,significant reduction of green hydrogen production costs is deemed instrumental to improve the economic performance of the *** results show the formidable techno-economic challenge that our society faces in the path towards circular economy societies.
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