Our modern age is undeniably dependent on fossil fuels, although enormous amounts of efforts have been devoted to utilize sustainable energies. Due to its energy-efficient nature, membrane gas separation technology ha...
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Our modern age is undeniably dependent on fossil fuels, although enormous amounts of efforts have been devoted to utilize sustainable energies. Due to its energy-efficient nature, membrane gas separation technology has gained industrial applications in controlling greenhouse gas emissions for a number of key industries. For example, hollow fibre and spiral wound membrane modules are commercially used for gas sweetening in the natural gas industry. However, membrane technology faces some challenges that may restrict wider implementation. Part of this is the lack of detailed models to accurately simulate membrane gas separation processes. The current state of the art uses empirically based models that report gas permeances. However, non-ideal effects imposed by operating conditions as well as the nature of the feed gas may alter the structural properties of the membranes, altering the permeability of a membrane module and the subsequent carbon capture process. As such, there is need for detailed model development to address these challenges, as larger scale membrane processes will be commissioned once the performance of commercial membrane modules can be accurately simulated. mathematical models are required to evaluate the overall performance of gas separation membrane modules operating in the presence of non-ideal effects. These models can also predict the design parameters of membrane modules and facilitate process optimization. Many studies have been developed to model gas separation processes through membranes, but these neglect non-ideal effects by assuming ideal gas behaviour, negligible pressure loss at both retentate and permeate sides, assume isothermal process conditions, ignore concentration polarization effects and generally do not account for competitive sorption effects of mixed gas systems. An example of where non-ideal behaviour is important is in pressure drop induce expansion resulting in gas cooling due to the Joule-Thomson effect;the process is ra
The Licensed Assisted Access (LAA) is shown as a required technology to avoid overcrowding of the licensed bands by the increasing cellular traffic. Proposed by 3GPP, LAA uses a Listen Before Talk (LBT) and backoff me...
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This paper presents an original development of knowledge-based parametric CAD models related to configurable biomechanical structures by using an emerging modelling approach, skeleton-based modelling. Over the last de...
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This paper presents an original development of knowledge-based parametric CAD models related to configurable biomechanical structures by using an emerging modelling approach, skeleton-based modelling. Over the last decades, new geometric modelling approaches have been introduced to promote top-down or bottom-up modelling strategies even both in various engineering domains, therefore facilitating collaboration and knowledge integration. A similar effort in biomechanics still exists with such approaches in CAD application. Biomechanics is considered as a bridge discipline between medicine and mechanical engineering, which enables the geometric representation and numerical simulation of biomechanical structures based on mechanical constraints. Some mathematical models of the human body - which predict the behaviour of such mechanical structures and include the main geometric parameters and specific material properties of its components - have been proposed over the last decade in order to be the most biofidelic as possible. The development of accurate biomechanical models requires a particular attention to the shape, size and more generally the anthropometry of the geometry. Even if these models use to simulate the average population with a 50th percentile geometry, it becomes critical to develop robust and configurable models, including geometric and structural characteristics of a given population, in a parametric and central manner. The main objective is to develop knowledge-based parametric CAD models for further numerical simulations. The proposed approach reuses in part a skeleton-based modelling approach - already successfully applied in product geometric modelling - and extends it to integrate knowledge captured from the anatomical definition and behaviour of the human body. As such, to demonstrate the applicability and the relevance of the proposed approach, a human hand is introduced as a biomechanical case study and defined within a developed knowledge-based
For many real speech applications such as speech synthesis, speech conversion it is essential to reproduce the voice source waveforms as close as possible to the real ones in order to synthesize a natural speech. In t...
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For many real speech applications such as speech synthesis, speech conversion it is essential to reproduce the voice source waveforms as close as possible to the real ones in order to synthesize a natural speech. In the literature, voice source waveform models such as Liljencrants-Fant (LF) synthesize the voice source waveform using mathematical expressions. Such parametrization produces a poor approximation of real voice source waveforms of the human voice. This paper presents a frequency study of the LF-model. Based on this study, we propose to enrich the spectrum and the phase of the LF-model. An analysis/synthesis scheme was set up to demonstrate the effectiveness of the proposed method. Subjective and objective measure show that the synthesized speech using the proposed method performs better when using the simple LF model. (C) 2018 The Authors. Published by Elsevier Ltd.
Nanoparticle transport and deposition in human lung has attracted considerable attention in past few decades, as it has significant value to the understanding of inhalation toxicity consequence as well as therapeutic ...
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human community has outgrown breaking the laws of the nature. This has caused serious threat to the nature and hence to the human community itself. Day to day activities of the man creates different kind of waste mate...
human community has outgrown breaking the laws of the nature. This has caused serious threat to the nature and hence to the human community itself. Day to day activities of the man creates different kind of waste materials. These materials are thrown in the surroundings, which creates unpredictable damage to the environment. The matter of management of waste has prime priority in sustainable development. In this paper we mainly discuss various characteristics of waste management systems such as efficiency, sufficiency and consistency. A waste management system is developmental if it generates employment and income to the country. We develop some mathematical models which to ensure the efficiency and developmental characteristics of the waste management systems.
The article deals with problem of human gait modelling. human gait analysis is used for various human identification tasks and for various purposes in medicine. Lagrange equations of the second kind in many research a...
The article deals with problem of human gait modelling. human gait analysis is used for various human identification tasks and for various purposes in medicine. Lagrange equations of the second kind in many research are used to model gait. We use a model of an anthropomorphic mechanism of five links to describe human movements. The mathematical model is implemented in the form of software that uses input data on the kinematics of a real gait. An important result of the study is the creation of an algorithm for calculating model parameters that best reproduce the gait of a particular person. Our approach is based on the application of a genetic algorithm to minimize a new special objective function, which depends on discrete generalized coordinates that depend on time. The dynamic picture significantly improves the quality of the model, which is able to reproduce the subtle features of the human gait.
Bio mimicry is the examination of nature, its model, system, process and element. It is used to solve human problems by imitating these in an appropriate manner. Biological creatures build amazing structures which sup...
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The existent of Uranium in vicinity of groundwater population can give a threat to the water supplier for human consumption. The objective of the research was to find the most important variables to the existence of t...
The existent of Uranium in vicinity of groundwater population can give a threat to the water supplier for human consumption. The objective of the research was to find the most important variables to the existence of the Uranium. This paper shows some modelling process for above matters by applying Neural Networks of Multilayers Perceptron. Data taken from US Department of Energy. Neural Networks used in this study were learning the representation of the model inside the data, and how best it relation with the output variable that we obtained from prediction. The results showed that the training samples was 87 out of 127, and the testing samples was 40 out of 127. The results were not giving indication that a mathematical model obtained. The conclusion was Conductivity becoming the most important variable to the existence of Uranium, which followed by the second importance that was Arsenic, the third importance was Selenium, the fourth important was Total Alkalinity.
Spinal exoskeletons can reduce the risk of low-back pain by decreasing the back muscle activity and the spinal compression forces of users during heavy lifting tasks. Model-based simulation and optimization are helpfu...
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ISBN:
(数字)9781538676301
ISBN:
(纸本)9781538676318
Spinal exoskeletons can reduce the risk of low-back pain by decreasing the back muscle activity and the spinal compression forces of users during heavy lifting tasks. Model-based simulation and optimization are helpful tools to support the design of exoskeletons reducing the number of prototypes iterations and testings. In this paper, we present a comparison of different cost functions based on modeling and optimization techniques to determine proper actuator characteristics for an active spinal exoskeleton supporting stoop-lifts of a 10 kg box. Using motion recordings of five different subjects and additional anthropometric measurements, we created subject-specific musculoskeletal models. A corresponding parameterized model of an exoskeleton with passive and active components was created and combined with the human models. The spring characteristics and the torque profiles of the exoskeleton are optimized for various objectives which consist of a term for tracking the recordings and an additional term from a set of cost functions to reduce the load on the subjects. User comfort is guaranteed by appropriate interaction force limits. The results show that all cost functions reduced significantly the human torque loads. However, they result in different amounts and distributions of the load reduction as well as different contributions from the passive and active components of the exoskeleton. They also yield different actuation patterns of the human model performing the stoop-lift. The analysis of the effects of cost functions in this study highlights the importance of selecting an appropriate cost function for optimization.
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