Software Design Tools Research Articles

Computer aided chemical product design – ProCAPD and tailor-made blended products

In chemical product design, application of computer-aided methods helps to design as well as improve products to reach the market faster by reducing time-consuming experiments at the early stages of design. That is, experiments are performed during the later stages as a verification or product refinement step. Computer-aided molecular and mixture-blend design methods are finding increasing use because of their potential to quickly generate and evaluate thousands of candidate products; to estimate a large number of the needed physico-chemical properties; and to select a small number of feasible product candidates for further verification and refinement by experiments. In this paper, an extended computer-aided framework and its implementation in a product design software tool is presented, highlighting the new features together with an overview on the current state of the art in computer-aided chemical product design. Results from case studies involving tailor-made blend design are presented to highlight the latest developments.

Accessing microfluidics through feature-based design software for 3D printing.

Additive manufacturing has been a cornerstone of the product development pipeline for decades, playing an essential role in the creation of both functional and cosmetic prototypes. In recent years, the prospects for distributed and open source manufacturing have grown tremendously. This growth has been enabled by an expanding library of printable materials, low-cost printers, and communities dedicated to platform development. The microfluidics community has embraced this opportunity to integrate 3D printing into the suite of manufacturing strategies used to create novel fluidic architectures. The rapid turnaround time and low cost to implement these strategies in the lab makes 3D printing an attractive alternative to conventional micro- and nanofabrication techniques. In this work, the production of multiple microfluidic architectures using a hybrid 3D printing-soft lithography approach is demonstrated and shown to enable rapid device fabrication with channel dimensions that take advantage of laminar flow characteristics. The fabrication process outlined here is underpinned by the implementation of custom design software with an integrated slicer program that replaces less intuitive computer aided design and slicer software tools. Devices are designed in the program by assembling parameterized microfluidic building blocks. The fabrication process and flow control within 3D printed devices were demonstrated with a gradient generator and two droplet generator designs. Precise control over the printing process allowed 3D microfluidics to be printed in a single step by extruding bridge structures to ‘jump-over’ channels in the same plane. This strategy was shown to integrate with conventional nanofabrication strategies to simplify the operation of a platform that incorporates both nanoscale features and 3D printed microfluidics.

HYBRID GRIDS ANALYSIS WITH RENEWABLE ENERGY AND THERMAL ENERGY FOR STREET LIGHT -A CASE STUDY

This paper presents a techno-economic assessment for a unique Isolated Hybrid Power System (IHPS) design which could be used for remote areas isolated from the grid which also has the capability of being operated as a smart the hybrid energy system considering solar and wind energy sources for the purpose of street lighting. Solar-Wind Street light is an intelligent, small scale, and off grid LED lighting system. The modelling design and simulations were based on Simulations conducted using the Data collected and HOMER Energy Planning and Design software tools. Its components are solar panel, wind generator system (PVC blowers), Dynamo, LDRs, battery, LED light, charge controller. The energy stored in battery during day time due to solar panel, get extracted by LEDs during the night time (because LDRs get activated due to absence of sun light). Wind also charges the batteries due to wind which is used for glowing street light. The advantage of this idea is to avoid daily running cost and make the system purely off-grid. In this prototype, we have used 12V DC system to supply energy to the lights.

AN IMPLEMENTATION OF RA-SCRUM TOOL DESIGN FOR FINDING THE REUSABILITY FUNCTION AND COMPONENT IN OBJECT ORIENTED LANGUAGE

To collection the software industries need of today’s existing to release the quick and fast delivery the product, so choose the software engineering concept about wide array of different project methods and models or even design the product to their own by using of prototypes. In any type of methods of SCRUM models, a ration of number of design process to solve as per requirement of the customer needs and analyzed in the at the begin of the project development by the scrum master and then it is written down in a project design in step-by-step by team and implemented the coding and tested as given of design specification. But the major problem in scrum team is misunderstanding the requirement as well fail in testing team and formulates the improvement of communication and testing process, to reduce the customer order a product is delay to delivery with productivity cost and minimize the risk factors in industry, in such way the developer creativity the software design of tools to reduce the such problem to minimize in way time and cost and to increase the quality of product by using the tool design in- variable risk effort is decrease in a team. Scrum methods are becoming too acceptable to software design tool are much more flexible to customer and changing customer requirement ideas even late process of the software project by team member, these type of bendable facility available in RA-SCRUM Tool design methodology through scrum process, which one of the methods best method for reusability of the modules or function of the object oriented language. So, RA-SCRUM tool is best example, as most of the software industries are using this method.

Modifications to ASHRAE's sizing method for vertical ground heat exchangers

The current article proposes modifications to the ASHRAE sizing equation for vertical ground heat exchangers. The proposed method uses the same three pulse approach as the current sizing equation but uses g-functions to calculate the effective ground thermal resistances. One key feature of the iterative methodology is the ability to calculate new g-functions as the geometry morphs during the solution process. Long-term g-functions are evaluated analytically using the finite line source (FLS) solution over borehole segments while so-called short-term g-functions are calculated based on a hybrid analytical/numerical method to account for the borehole thermal capacity. The current article examines three aspects of the proposed methodology. First, it is shown that the time-consuming evaluation of the full g-function curve, typically obtained by temporal superposition, is not necessarily required. Second, the optimum number of borehole segments to obtain an accurate bore field length with reasonable calculation time is examined. The selection of a convergence criteria and its impact on calculation time is also discussed. The excellent agreement between results obtained with the proposed alternative method and the ones obtained from other design software tools confirms the validity of the proposed method. Finally, it is shown that short-term effects can have a relatively significant effect on the calculation of the required borehole length.

Importance of active layer positioning on gate electrode in organic thin-film transistors

ABSTRACTWe describe the importance of active layer positioning for a gate electrode in organic thin-film transistors (TFTs). For this study, we utilizea numerical simulation based on 2-D Atlas, which is a two-dimensional technology computer aided design (so called 2D TCAD) software tool created by Silvaco. Variation in the electrical characteristics of pentacene TFTs is systematically explored by changing the mismatch length (LM) between the active layer and gate electrode in the bottom-gate top-contact configuration. It is found that as the LM increases, the electrical performance of pentacene TFTs is exponentially degraded in terms of drain current on/off characteristics. In particular, we explain this phenomenon by examining variations in charge distribution and gate electric field in the TFT channel region byincreasing the LM.

The effect of Quran murottal’s audio on short term memory

In all activities, people need memory as information storage. A good memory will make it easier for people to remember so they can do their job well. One of the things that affect memory is the sound of music. Music is commonly used as a stress treatment or as one of the stimuli of human brain memory. Not only classical music can be one of the stimuli of brain memory, but listening to the Quran can also be one of the brain memory stimulants. Several studies have proven that by listening to the Qur'an, the ability of the brain can be increased significantly. In this study used the variables pre and posted Qur'an listening to 50 respondents. Respondents consisted of 26 men and 24 women aged 19-22 years old. All respondents will get two treatments. The first treatment is without listening to murottal and the second treatment is done after listening to the Quran. All respondents will do memory test using the program running memory in software design tools. The results showed that the average ability of short-term memory without listening to murottal 11.8 and the average ability of short-term memory by listening to murottal is 12.62. Based on these results it is known that by listening to the Quran provides a significant increase in the ability of the brain.

Development and testing of a software tool for warehouse design and picking optimization

The picking process is a manual, labour-intensive process, whose efficiency is affected by a number of different factors, which contribute to determine the travel distance covered by pickers. This paper describes the development of an original software tool programmed with Microsoft ExcelTM to help design picker-to-parts order picking systems and simultaneously evaluate the effect and interactions of various design and operating factors on the process performance. The software allows the geometry of any rectangular warehouse to be reproduced as a function of its main parameters, i.e., the number of aisles and cross-aisles, shape factor and total storage capacity, and the application of four routing policies to be simulated. The software was applied to derive the travel distance as a function of the routing policy, shape factor, number of cross-aisles and length of the order picking list, in a warehouse of fixed storage capacity.

Numerički metod dizajna pogonskog punjenja sa čvrstim gorivom

In this study, a grain burnback analysis for an Anchor solid propellant grain geometry for a rocket motor was done. The design process involves parametric modeling of the geometry in using PTC Creo software through dynamic variables that define the complex configuration. Grain burnback is achieved by making new surfaces step by step and calculating geometrical properties at each web increment. The surfaces of the grain are determined by PTC Creo 4.0 using grain shapes at every 5 mm thickness of the burned web. This procedure gives the sizes of the remaining grain surfaces, during its burning process in the Solid Rocket Motor. The results obtained using PTC Creo have been checked by the values of burning surfaces calculated using closed form of equations that describe the same geometry, in order to verify the correctness of numerical calculation. The work presented deals with the application of the PTC Creo software tool for design of any arbitrary solid form of a rocket motor propellant grain. This work was concentrated on a numerical description and determination of the mathematical model of the burning process.

Optimization of fuel loading pattern for a material test reactor using swarm intelligence

A software design tool has been developed for optimization of in-core fuel loading pattern by using a biologically inspired computational search algorithms including Particle Swarm optimization. Catfish algorithm is also incorporated to protect the algorithm to be stuck during iteration process. An optimum core loading scheme has been proposed for a swimming pool type material test reactor (Pakistan Research Reactor-1) by maximizing the effective multiplication factor. This particle swarm optimization code and a diffusion theory code PRIDE has been integrated to search for an optimal loading pattern. Moreover as a second step, to maintain the integrity of fuel, a penalty function is also added to achieve a multi-objective optimization i.e. to maximize the effective multiplication factor while keeping the power peaking factor low.

IMPRESS BIM Methodology and Software Tools (iBIMm) for Façade Retrofitting Using Prefabricated Concrete Panels

IMPRESS is a H2020 funded project that has developed prefabricated façade panels to reduce building energy demand. In order to accelerate and optimise the retrofit process, IMPRESS has developed an iterative design methodology (IDM), which incorporates all stages of the design-construct-install-operate process and aims to bring energy efficiency as early as possible in the design process. Three software tools have been developed for this purpose: (1) an online decision support software (DSS), to inform decision-making on which panel type is suitable for the building; (2) an interoperable data exchange server (IDES) to allow exchange of information related to the design, construction, installation and operation of the facade; and (3) an online management platform (OMP) for coordination through all stages. The merger of the design methodology and software tools is called IMPRESS BIM methodology (iBIMm) which enables design teams to make informed decisions based on building information models and provides a platform to monitor its performance during the operation stage.

Softly smart: experiencing place identity

A recent approach to place development is to construct integrated systems for managing cultural and identity resources so that they can be enjoyed through ‘experiential itineraries’. These itineraries are designed on the basis of a survey of existing heritage, with a view to support creative industries or to help develop new ones. Visitor experience of a place can be further enhanced and virtualised using smart technologies. The aim of this paper is to illustrate the studies on experiential itineraries. The studies are rooted in the disciplines of psychology and economy, and, more recently, in disciplines that study places. The author proposes an analysis and design software tool for identification and enhancement of cultural and identity resources. The tool is a dynamic and interactive platform for complex and sensitive management of qualitative data of a place. It is conceived as a single platform with different entry points, both private and public, for local authorities, professionals and citizens. The paper concludes with a brief presentation of case studies carried out in the historical centres of Palestrina and Gaeta in Italy, both characterised by low-impact tourism. The main objective of these studies was to achieve smart experiential knowledge of a place allowing sustainable enjoyment of its resources.

Implementation of a low‐power LVQ architecture on FPGA

This study presents an architecture‐optimising methodology for embedding an learning vector quantization (LVQ) neural network on an field programmable gate array (FPGA) device. The embedded architecture contains both learning and decision circuitry and is optimised towards the lowest power/energy consumption. The low‐power/energy architecture is obtained through the selection of the best one amongst a number of architectures produced by FPGA software design tools that combine power, area and the ergonomic utilisation of internal FPGA resources. A complete characterisation of power at the architectural level was carried out using the Xpower tool. An analytical power model was determined by the following parameters: area, delay and LVQ topology. Concerning the authors’ architecture, there is a 28% gain in the area design. Moreover, it consumes 8% power in the nanoboard 3000 compared with the other ones.

Comparative Performance Analysis of Sliding Mode and Q-Controller Algorithms for Buck Converter

The switched mode dc-dc converters are some of the simplest power electronic circuits which have received an increasing deal of interest in many areas due to their high efficiency and small size. These converters are non-linear and time-variant in nature; hence the analysis, control and stabilization are the main factors that need to be considered. Many control methodology are used for control of switch mode dc-dc converters but the optimum one is always in demand. This paper presents the linearization of the Buck converter model and a comparison between a linear and non-linear control algorithms for better output voltage regulation along with robustness to change in input voltage and load parameters. The computer –aided design software tool Matlab/Simulink is used for the simulations and the results are presented.

Study on the Simulation Teaching Method of Sine Wave Generation Circuit in Electronic Courses

The major feature of the electronic technology course is the relatively abstract content. Students are not easy to quickly understand them in the learning process, therefore, they need to spend a lot of spare time to continue to consolidate, and it has a general teaching effect. Multisim is an EDA software tool for electronic circuit design and simulation. If we can put the simulation process in teaching, it is beneficial to improve the quality of teaching, also it would make the abstract contents clearly of the course. This paper focuses on the electronic technology teaching content of the RC bridge oscillator circuit analysis with MULTISIM.

Development of a fuzzy integrated software tool to prioritise technical requirements for effective design of online shopping websites

Recently, there has been a tremendous growth in the online shopping; nevertheless the users' satisfaction rate has dropped largely due to poor design of websites. Thus, there is a pressing need of well-designed websites. Decision making plays a significant role in effective design of websites. Quality function deployment (QFD) being a decision making tool, can be employed for the design of online shopping websites. However, QFD uses linguistic expressions and follows crisp approach generating uncertainty and vagueness which leads to inconsistency in results. This requires fuzzy integration with QFD to address the issue. In QFD, the customer needs (CNs) and technical requirements (TRs) are prioritised. However, the paper considers TRs prioritisation only and in this regard it aims to develop a fuzzy integrated technical requirements prioritisation software tool for effective design of online shopping websites. The tool is developed using VB.Net and MS-Access and symmetrical triangular fuzzy numbers (STFNs) are proposed to deal with the uncertainty and vagueness.

Development of a fuzzy integrated software tool to prioritise technical requirements for effective design of online shopping websites

Recently, there has been a tremendous growth in the online shopping; nevertheless the users' satisfaction rate has dropped largely due to poor design of websites. Thus, there is a pressing need of well-designed websites. Decision making plays a significant role in effective design of websites. Quality function deployment (QFD) being a decision making tool, can be employed for the design of online shopping websites. However, QFD uses linguistic expressions and follows crisp approach generating uncertainty and vagueness which leads to inconsistency in results. This requires fuzzy integration with QFD to address the issue. In QFD, the customer needs (CNs) and technical requirements (TRs) are prioritised. However, the paper considers TRs prioritisation only and in this regard it aims to develop a fuzzy integrated technical requirements prioritisation software tool for effective design of online shopping websites. The tool is developed using VB.Net and MS-Access and symmetrical triangular fuzzy numbers (STFNs) are proposed to deal with the uncertainty and vagueness.

SOFTWARE TOOL AND PERIPHERALS OF SYSTEM FOR MEASURING OF INTRA-ABDOMINAL PRESSURE

The article deals with the software tool design and its features implementation into automation measuring system of intra-abdominal pressure. Measurement system consists of peripherals controlled by electronics connected to computer with developed software. Software was used for pressure sensor optimization implemented into measurement system as well as whole system testing and its evaluation. Pressure sensors consist of glass tube with electrodes created by thin film technology. The article also deals with software possibilities and its application in testing process.

A Review of Electronic-Photonic Heterogeneous Integration at DARPA

The Defense Advanced Research Projects Agency (DARPA) has developed programs in integrated photonics for over a decade. From the Electronic-photonic Integrated Circuits (EPIC) program to the more recent Electronic-photonic Heterogeneous Integration (E-PHI) program, DARPA programs have established a library of high-performance silicon photonic devices and have demonstrated heterogeneous integration processes. These components and integration techniques, combined with automated design software tools, form the basis of the new American Institute for Manufacturing Integrated Photonics which will establish a photonics manufacturing ecosystem in the United States through a combination of public and private funds.

Using artificial neural networks in the design of orthotropic bridge decks

For orthotropic bridge decks a lot of progress has been made in the development of codes to aid in the design process, in addition to software tools for numerical analysis and design. However, professional software tools will not aid the designer in choosing a preliminary economic layout at the conceptual design stage. Designers would go through iterative, lengthy and expensive procedures to reach the best configuration. The present research provides a methodology to investigate the contingency of using artificial neural networks for conceptual design of orthotropic steel-deck bridge. A neural network model was trained with different combinations of dimensions, and eight types of safety checks were performed on all of them. The resulting network can predict whether the deck is safe or not. It is found that this approach for the selection of orthotropic deck dimensions is a better and cost-effective option compared with international codes or expert opinion.