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Product/Process Fingerprint in Micro Manufacturing

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ISBN: 9783039210343 / 9783039210350 Year: Pages: 274 DOI: 10.3390/books978-3-03921-035-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General)
Added to DOAB on : 2019-06-26 08:44:06
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The continuous miniaturization of products and the growing complexity of their embedded multifunctionalities necessitates continuous research and development efforts regarding micro components and related micro manufacturing technologies. Highly miniaturized systems, manufactured using a wide variety of materials, have found application in key technological fields, such as healthcare devices, micro implants, mobility, communications, optics, and micro electromechanical systems. Innovations required for the high-precision manufacturing of micro components can specifically be achieved through optimizations using post-process (i.e., offline) and in-process (i.e., online) metrology of both process input and output parameters, as well as geometrical features of the produced micro parts. However, it is of critical importance to reduce the metrology and optimization efforts, since process and product quality control can represent a significant portion of the total production time in micro manufacturing. To solve this fundamental challenge, research efforts have been undertaken in order to define, investigate, implement, and validate the so-called “product/process manufacturing fingerprint” concept. The “product manufacturing fingerprint” concept refers to those unique dimensional outcomes (e.g., surface topography, form error, critical dimensions, etc.) on the produced component that, if kept under control and within specifications, ensure that the entire micro component complies to its specifications. The “process manufacturing fingerprint” is a specific process parameter or feature to be monitored and controlled, in order to maintain the manufacture of products within the specified tolerances. By integrating both product and process manufacturing fingerprint concepts, the metrology and optimization efforts are highly reduced. Therefore, the quality of the micro products increases, with an obvious improvement in production yield. Accordingly, this Special Issue seeks to showcase research papers, short communications, and review articles that focus on novel methodological developments and applications in micro- and sub-micro-scale manufacturing, process monitoring and control, as well as micro and sub-micro product quality assurance. Focus will be on micro manufacturing process chains and their micro product/process fingerprint, towards full process optimization and zero-defect micro manufacturing.

Keywords

micro-injection moulding --- quality assurance --- process monitoring --- micro metrology --- positioning platform --- Halbach linear motor --- commercial control hardware --- diffractive optics --- gratings --- microfabrication --- computer holography --- manufacturing signature --- process fingerprint --- Fresnel lenses --- injection compression molding --- injection molding --- micro structures replication --- confocal microscopy --- optical quality control --- uncertainty budget --- optimization --- precision injection molding --- quality control --- process monitoring --- product fingerprint --- process fingerprint --- electrical discharge machining --- electrical discharge machining (EDM) --- surface roughness --- surface integrity --- optimization --- desirability function --- satellite drop --- electrohydrodynamic jet printing --- charge relaxation time --- laser ablation --- superhydrophobic surface --- process fingerprint --- product fingerprint --- surface morphology --- artificial compound eye --- multi-spectral imaging --- lithography --- spectral splitting --- plasma-electrolytic polishing --- PeP --- surface modification --- finishing --- electro chemical machining --- ECM --- Electro sinter forging --- resistance sintering --- electrical current --- fingerprints --- electrical discharge machining --- micro drilling --- process monitoring --- quality control --- electrochemical machining (ECM) --- process control --- current monitoring --- current density --- surface roughness --- inline metrology --- haptic actuator --- impact analysis --- high strain rate effect --- damping --- 2-step analysis --- micro-grinding --- bioceramics --- materials characterisation --- dental implant --- microinjection moulding --- process fingerprints --- flow length --- quality assurance --- n/a

Disease and the Hippo Pathway: Cellular and Molecular Mechanisms

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ISBN: 9783039217762 / 9783039217779 Year: Pages: 226 DOI: 10.3390/books978-3-03921-777-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-12-09 11:49:16
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The Hippo pathway is a highly dynamic cellular signaling nexus that plays central roles in multiple cell types and regulates regeneration, metabolism, and development. The Hippo pathway integrates mechanotransduction, cell polarity, inflammation, and numerous types of paracrine signaling. If not tightly regulated, dysregulated Hippo pathway signaling drives the onset and progression of a range of diseases, including fibrosis and cancer. The molecular understanding of the Hippo pathway is rapidly evolving. This Special Issue contains ten articles contributed by established and up-and-coming Hippo pathway experts that, as a whole, provides an up-to-date overview of how dysregulated Hippo pathway activity is a common driver of specific diseases. The articles have a particular focus on the underlying molecular and cellular mechanisms that cause the Hippo pathway to go awry, and especially how this drives disease. The articles analyze disease-specific as well as common themes, which provides valuable insights into the fundamental molecular mechanisms in the dysfunctioning Hippo pathway, and thereby offer practical insights into potential future therapeutic intervention strategies.

Modelling and Analysis of Sustainability Related Issues in New Era

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ISBN: 9783039210244 / 9783039210251 Year: Pages: 350 DOI: 10.3390/books978-3-03921-025-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-06-26 08:44:06
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The purpose of this Special Issue is to investigate topics related to sustainability issues in the new era, especially in Industry 4.0 or other new manufacturing environments. Under Industry 4.0, there have been great changes with respect to production processes, production planning and control, quality assurance, internal control, cost determination, and other management issues. Moreover, it is expected that Industry 4.0 can create positive sustainability impacts along the whole value chain. There are three pillars of sustainability, including environmental sustainability, economic sustainability, and social sustainability. This Special Issue collects 15 sustainability-related papers from various industries that use various methods or models, such as mathematical programming, activity-based costing (ABC), material flow cost accounting, fuel consumption model, artificial intelligence (AI)-based fusion model, multi-attribute decision model (MADM), and so on. These papers are related to carbon emissions, carbon tax, Industry 4.0, economic sustainability, corporate social responsibility (CSR), etc. The research objects come from China, Taiwan, Thailand, Oman, Cyprus, Germany, Austria, and Portugal. Although the research presented in this Special Issue is not exhaustive, this Special Issue provides abundant, significant research related to environmental, economic, and social sustainability. Nevertheless, there still are many research topics that require our attention to solve problems of sustainability.

Keywords

carbon tax policy --- return policy --- carbon reduction --- e-commerce platform --- carbon emissions --- cap & trade --- green production --- footwear industry --- activity-based costing (ABC) --- activity-based costing (ABC) --- industry 4.0 --- integrated mathematical programming --- product-mix decision --- theory of constraints (TOC) --- carbon tax --- small and medium enterprises --- OEE --- OECD --- manufacturing sustainability --- time study --- Industry 4.0 --- material handling systems --- agent-based control architecture --- Activity-Based Costing (ABC) --- Industry 4.0 --- tire industry --- carbon emission --- carbon tax --- mathematical programming --- sustainability --- sustainability performance --- corporate social responsibility (CSR) --- internal control --- multi-attribute decision model (MADM) --- decision making trial and evaluation laboratory (DEMATEL) --- DANP (DEMATEL based ANP) --- VIKOR --- fuel consumption --- sustainability --- active suspension --- PID controller --- white noise --- colored noise --- long- and short-term --- greenhouse gas --- LS-ARIMAXi-ECM model --- sustainability --- economic growth --- exogenous variables --- CO2 emissions --- family business --- succession plan --- corporate characteristics --- family capital --- niche inheritance --- multi-attribute decision model (MADM) --- social sustainability --- artificial intelligence --- corporate social responsibility --- decision making --- firm value --- Activity-Based Costing (ABC) --- Industry 4.0 --- aluminum-alloy wheel industry --- mathematical programming --- Activity-Based Standard Costing (ABSC) --- Manufacturing Execution System (MES) --- Activity-Based Costing (ABC) --- Enterprise Resource Planning (ERP) --- Industry 4.0 --- industrial internet of things --- digital transformation --- digital platforms --- qualitative-empirical study --- small and medium-sized enterprises --- sustainable development --- energy efficiency --- electrical appliances --- life cycle cost analysis (LCCA) --- multi-attribute value theory (MAVT) --- multi-objective optimization --- NSGAII --- sustainability --- ISO14051 --- material flow cost accounting --- n/a

Modeling and Simulation of Carbon Emission Related Issues

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ISBN: 9783039213115 / 9783039213122 Year: Pages: 420 DOI: 10.3390/books978-3-03921-312-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-12-09 11:49:15
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Carbon emissions reached an all-time high in 2018, when global carbon dioxide emissions from burning fossil fuels increased by about 2.7%, after a 1.6% increase in 2017. Thus, we need to pay special attention to carbon emissions and work out possible solutions if we still want to meet the targets of the Paris climate agreement. This Special Issue collects 16 carbon emissions-related papers (including 5 that are carbon tax-related) and 4 energy-related papers using various methods or models, such as the input–output model, decoupling analysis, life cycle impact analysis (LCIA), relational analysis model, generalized Divisia index model (GDIM), forecasting model, three-indicator allocation model, mathematical programming, real options model, multiple linear regression, etc. The research studies come from China, Taiwan, Brazil, Thailand, and United States. These researches involved various industries such as agricultural industry, transportation industry, power industry, tire industry, textile industry, wave energy industry, natural gas industry, and petroleum industry. Although this Special Issue does not fully solve our concerns, it still provides abundant material for implementing energy conservation and carbon emissions reduction. However, there are still many issues regarding the problems caused by global warming that require research.

Keywords

household consumption --- total carbon emissions --- CLA Model --- influence factor --- STIRPAT model --- carbon emissions --- influencing factors --- decoupling elasticity --- Generalized Divisia Index --- Tapio’s model --- household CO2 emissions (HCEs) --- per capita household CO2 emissions (PHCEs) --- input–output model --- refined oil distribution --- inventory routing problem --- hybrid genetic algorithm --- carbon emissions --- carbon tax --- decoupling analysis --- greenhouse gas emissions --- carbon footprint --- low-carbon agriculture --- causal factors --- CO2 emissions forecasting --- VARIMAX-ECM model --- sustainable development --- economic growth --- population growth --- carbon price fluctuation --- renewable energy --- real options analysis --- investment under uncertainty --- carbon emissions --- carbon tax --- activity-based costing (ABC) --- capacity expansion --- green quality management --- product-mix decision model --- mathematical programming --- long-term --- final energy consumption --- LT-ARIMAXS model --- sustainable development --- economic growth and the environment --- error correction mechanism model --- activity-based costing (ABC) --- mathematical programming --- textile industry --- green manufacturing --- Industry 4.0 --- carbon emissions --- Activity-Based Costing (ABC) --- carbon emissions --- tire industry --- carbon trading --- mathematical programming --- quotas allocation --- carbon emissions --- electric power industry --- fairness --- agricultural-related sectors --- carbon emissions --- carbon tax --- China --- power industry --- carbon emissions --- Generalized Divisia Index --- scenario forecast --- Monte Carlo method --- wave energy converter --- life cycle assessment --- energy intensity --- carbon intensity --- aircraft --- taxi time --- takeoff rate --- pushback control --- green transportation --- carbon emissions --- reducing carbon emissions --- carbon intensity target --- energy structure --- gray model (GM (1, 1)) --- generalized regression neural network (GRNN) --- Markov forecasting model --- non-linear programming --- ethylene supply --- shale gas --- non-energy uses of fossil fuels --- socio-economic scenarios --- climate change --- tea --- climate change --- sustainable agriculture --- environmental impact --- carbon footprint --- CO2 emissions --- HOMER software --- hybrid ship power systems --- Li-ion battery --- shipping --- n/a

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