Bond graph based sensitivity and uncertainty analysis modelling for micro-scale multiphysics robust engineering design

Components within micro-scale engineering systems are often at the limits of commercial miniaturization and this can cause unexpected behavior and variation in performance. As such, modelling and analysis of system robustness plays an important role in product development. Here schematic bond graphs are used as a front end in a sensitivity analysis based strategy for modelling robustness in multiphysics micro-scale engineering systems. As an example, the analysis is applied to a behind-the-ear (BTE) hearing aid. By using bond graphs to model power flow through components within different physical domains of the hearing aid, a set of differential equations to describe the system dynamics is collated. Based on these equations, sensitivity analysis calculations are used to approximately model the nature and the sources of output uncertainty during system operation. These calculations represent a robustness evaluation of the current hearing aid design and offer a means of identifying potential for improved designs of multiphysics systems by way of key parameter identification

The improvement of standard operating procedures (SOP) and the process of grading the fresh palm fruit (BTS) at Kilang Kelapa Sawit Risda Ulu Keratong

Industrial Engineering and Quality Management is a branch of engineering subject that giving people knowledge about management in the industry. An industrial visit had been done due to this subject needed. The purpose of the visit is to identify an improvement that needed for the industry to make it more efficient and produce a good quality product and also managing the employee behaviour while at work. Industrial Engineering works to eliminate waste of time, money, materials, person-hours, machine time, energy, and other resources that do not generate value[1]. Industrial engineering is concerned with the development, improvement, and implementation of an integrated system of people, money, knowledge, information, equipment, energy, materials, analysis and synthesis. From all of the topic concern in industrial engineering then should be applied to the industry. In the factory sometimes have a bit of issue that they not notice out so there the function of Industrial Engineering will work. So from the industrial visit, there are some improvements that can be made such as grading system and standard of procedure. The old grading system of oil palm was not accurate enough, thus causing an error and producing poor oil quality. As the oil has less their grade so it will reduce the income of the factory because the buyer of the oil doesn’t take the responsibility due to the less of oil quality

Large space antennas: A systems analysis case history

The value of systems analysis and engineering is aptly demonstrated by the work on Large Space Antennas (LSA) by the NASA Langley Spacecraft Analysis Branch. This work was accomplished over the last half-decade by augmenting traditional system engineering, analysis, and design techniques with computer-aided engineering (CAE) techniques using the Langley-developed Interactive Design and Evaluation of Advanced Spacecraft (IDEAS) system. This report chronicles the research highlights and special systems analyses that focused the LSA work on deployable truss antennas. It notes developmental trends toward greater use of CAE techniques in their design and analysis. A look to the future envisions the application of improved systems analysis capabilities to advanced space systems such as an advanced space station or to lunar and Martian missions and human habitats

Ground-state Stabilization of Open Quantum Systems by Dissipation

Control by dissipation, or environment engineering, constitutes an important methodology within quantum coherent control which was proposed to improve the robustness and scalability of quantum control systems. The system-environment coupling, often considered to be detrimental to quantum coherence, also provides the means to steer the system to desired states. This paper aims to develop the theory for engineering of the dissipation, based on a ground-state Lyapunov stability analysis of open quantum systems via a Heisenberg-picture approach. Algebraic conditions concerning the ground-state stability and scalability of quantum systems are obtained. In particular, Lyapunov stability conditions expressed as operator inequalities allow a purely algebraic treatment of the environment engineering problem, which facilitates the integration of quantum components into a large-scale quantum system and draws an explicit connection to the classical theory of vector Lyapunov functions and decomposition-aggregation methods for control of complex systems. The implications of the results in relation to dissipative quantum computing and state engineering are also discussed in this paper.Comment: 18 pages, to appear in Automatic

Integration of Design, Thermal, Structural, and Optical Analysis, Including Thermal Animation

In many industries there has recently been a concerted movement toward 'quality management' and the issue of how to accomplish work more efficiently. Part of this effort is focused on concurrent engineering; the idea of integrating the design and analysis processes so that they are not separate, sequential processes (often involving design rework due to analytical findings) but instead form an integrated system with smooth transfers of information. Presented herein are several specific examples of concurrent engineering methods being carried out at Langley Research Center (LaRC): integration of thermal, structural and optical analyses to predict changes in optical performance based on thermal and structural effects; integration of the CAD design process with thermal and structural analyses; and integration of analysis and presentation by animating the thermal response of a system as an active color map -- a highly effective visual indication of heat flow

An introduction to Biomodel engineering, illustrated for signal transduction pathways

BioModel Engineering is the science of designing, constructing and analyzing computational models of biological systems. It is inspired by concepts from software engineering and computing science. This paper illustrates a major theme in BioModel Engineering, namely that identifying a quantitative model of a dynamic system means building the structure, finding an initial state, and parameter fitting. In our approach, the structure is obtained by piecewise construction of models from modular parts, the initial state is obtained by analysis of the structure and parameter fitting comprises determining the rate parameters of the kinetic equations. We illustrate this with an example in the area of intracellular signalling pathways

Skills development and recoding in engineering analysis and simulation : Industry needs

The EASIT2 project (Engineering Analysis and Simulation Innovation Transfer), funded under the European Union Lifelong Learning Programme, has the major goal to contribute to the competitiveness and quality of engineering, design and manufacturing in Europe through identifying the generic competencies that users of engineering analysis and simulation systems must possess. This competency framework will include a comprehensive Educational Base, a web-based interface compatible with other staff development systems, with links to associated resource material that engineers and analysts can use to develop and track their competencies. The project will also deliver an integrated Registered Analyst (RA) Scheme to provide recognition of achievement of these competencies. In order to help ensure that the deliverables of this project meet industry needs, a survey was undertaken and this paper summarises the findings of this survey. The survey comprised of an online questionnaire and was completed by 1094 respondents from 50 different countries. A large majority of respondents thought a system to define analyst skills and provide links to appropriate training resources would be useful. There was also strong support for a form of professional qualification in engineering analysis. The advantages to industry that these project deliverables would bring include incentives for staff development, marketing power and enhanced subcontractor qualification and internal resource management. The survey also provided a valuable insight into the current state of the engineering analysis and simulation industry. The most significant barriers to the effective use of engineering analysis were identified as recruitment of suitably qualified and experienced staff and a lack of analysis skills. “Pressure of work” was also identified as the most significant reason why organisations fail to get the most out of engineering analysis software. The findings of this survey are now being used in the development of the project deliverables to ensure that they meet the needs of industry as much as possible

Formal Analysis of Linear Control Systems using Theorem Proving

Control systems are an integral part of almost every engineering and physical system and thus their accurate analysis is of utmost importance. Traditionally, control systems are analyzed using paper-and-pencil proof and computer simulation methods, however, both of these methods cannot provide accurate analysis due to their inherent limitations. Model checking has been widely used to analyze control systems but the continuous nature of their environment and physical components cannot be truly captured by a state-transition system in this technique. To overcome these limitations, we propose to use higher-order-logic theorem proving for analyzing linear control systems based on a formalized theory of the Laplace transform method. For this purpose, we have formalized the foundations of linear control system analysis in higher-order logic so that a linear control system can be readily modeled and analyzed. The paper presents a new formalization of the Laplace transform and the formal verification of its properties that are frequently used in the transfer function based analysis to judge the frequency response, gain margin and phase margin, and stability of a linear control system. We also formalize the active realizations of various controllers, like Proportional-Integral-Derivative (PID), Proportional-Integral (PI), Proportional-Derivative (PD), and various active and passive compensators, like lead, lag and lag-lead. For illustration, we present a formal analysis of an unmanned free-swimming submersible vehicle using the HOL Light theorem prover.Comment: International Conference on Formal Engineering Method