An ontology for relating affective needs to design parameters: development process and content

2012 ◽  
Vol 13 (4) ◽  
pp. 393-410 ◽  
Author(s):  
David Golightly ◽  
Niels Lohse ◽  
Anders Opperud ◽  
Halimahtun M. Khalid ◽  
Matthew Peacock
Keyword(s):  
Development Process ◽  
Design Parameters ◽  
Affective Needs

Advanced Hydrodynamic Design of Vertical Diffuser Pumps Using Computational Fluid Dynamics

2002 ◽  
Author(s):  
Kristis V. Michaelides ◽  
Antonios Tourlidakis
Keyword(s):  
Development Process ◽  
Three Dimensional ◽  
Detailed Examination ◽  
Product Development Process ◽  
Design Parameters ◽  
Factors Affecting ◽  
Performance Predictions ◽  
Overall Performance ◽  
Industrial Use ◽  
Optimisation Procedure

The current paper describes an investigation into the industrial use of CFD and other computational technologies for the three-dimensional hydrodynamic design of vertical diffuser pumps and outlines the complete product development process. Detailed description of the complete design process is described and numerous CFD predictions of the flow are presented with detailed examination of the several factors affecting the hydrodynamics of impeller and diffuser and staging of the pump. Furthermore, variations of important geometrical design parameters based on the design optimisation procedure are discussed in accordance to the CFD results. The capabilities of the 3-D hydrodynamic design through CFD and the importance of the three dimensional blade geometry are demonstrated by the fact that two different pump impellers were designed based on strict design constraints affecting their basic dimensions. Finally, an overview of the functional prototypes development is described and comparisons are carried out between overall performance predictions and experimental results.

Virtual powertrain development

2020 ◽  
Vol 234 (14) ◽  
pp. 3288-3301 ◽  
Author(s):  
Peter Fietkau ◽  
Bruno Kistner ◽  
Jérôme Munier
Keyword(s):  
Electric Motor ◽  
Development Process ◽  
Individual Component ◽  
Product Development Process ◽  
Design Parameters ◽  
Structural Components ◽  
Development Environment ◽  
Load Spectra ◽  
Digital World ◽  
The Individual

This article presents the new system of virtual powertrain development introduced at Porsche AG that incorporates all phases of the development process, as well as all components and simulation disciplines. The system enables a powertrain in its entirety to be designed and tested virtually. Most activities can be planned and budgeted at the beginning of the project, and interactions that occur are systematically taken into consideration. The hardware-driven development process used until now is completely transmitted to the digital world. Powertrain development is divided into thirteen digital powertrain systems (DPSs), which contain different components and disciplines and are developed throughout the entire product development process. For each DPS, tasks, links, time schedules, reporting scopes, and responsibilities are precisely defined. Finally, a digital vehicle prototype is built from several DPSs. The results are aggregated in several stages, ensuring that core statements are consistently incorporated at all assessment levels, from the individual component to the overall vehicle. Furthermore, this article discusses in detail DPSs that are especially important for battery electric vehicles. For most of the examples, the powertrain of the Porsche Taycan is used. The Driving Performance and Load Spectra DPS provide the necessary design parameters for a new drive system. In the Electric Motor DPS, active parts of the electric motor are designed and all structural components are verified. In the Transmission DPS, all gear set parts are designed and verified. In the Cooling, Lubrication and Actuation DPS, all temperatures are calculated and the lubrication circuit is designed. The Powertrain Dynamics DPS provides information on powertrain vibrations. The article closes with a look at future development trends. The aim is not just to design and verify components but also to completely virtualize function and software development. Therefore, this article presents a system for creating and using a virtual development environment and tracking the results.

scholarly journals ENGINEERING DESIGN FROM A SAFETY PERSPECTIVE

2012 ◽  
Author(s):  
Christian Iorga ◽  
Alain Desrochers ◽  
Cécile Smeesters
Keyword(s):  
Engineering Design ◽  
Development Process ◽  
Product Development Process ◽  
Function Parameter ◽  
Design Parameters ◽  
Stochastic Methods ◽  
Loss Of Function ◽  
Statistical Nature ◽  
Deterministic Method ◽  
Product Industry

Engineering design is an iterative decision- making process involving interactions between three elements: geometry, materials and loads. The objective is to provide an optimum combination of these design parameters. Unfortunately, the absolute optimum can rarely be achieved because the design criteria typically place counter opposing demands and uncertainties must be accommodated. To this end, the integration of both deterministic and stochastic methods into the product development process is encouraged. The deterministic method allows designers to calculate a design safety factor based on the uncertainties of a loss-of-function parameter and a maximum allowable parameter. Stochastic methods are based on the statistical nature of the design parameters and focus on the reliability of the design. Links between these elements will thus be emphasized and supported with examples from the recreational product industry.

Use of Fuzzy QFD in Construction Project Developing

2011 ◽  
Vol 368-373 ◽  
pp. 1600-1603
Author(s):  
Ya Hong Feng
Keyword(s):  
Quality Function Deployment ◽  
Development Process ◽  
Construction Project ◽  
Design Parameters ◽  
House Of Quality ◽  
Project Development ◽  
Manufactured Products ◽  
Development Processes ◽  
Fuzzy Qfd ◽  
Original Approach

Quality function deployment (QFD) is a process that has been used for managing the development of new manufactured products. In this process, both spoken and unspoken needs of the customers are determined, prioritized, and translated to design parameters. The aim of this paper is to propose an original approach for the management of construction project development process. The approach is based on the QFD, and fuzzy logic is also adopted to deal with the ill-defined nature of the qualitative linguistic judgments required in the proposed house of quality (HOQ). Specifically, the paper addresses the issue of how to deploy the HOQ to effectively and efficiently improve construction project development processes and thus customer satisfaction.

scholarly journals Estimation of Ferroelectric Material Properties and Phase-Shifter Design Key Parameters Influence on Its Figure of Merit for Optimization of Development Process

Crystals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 538
Author(s):  
Alexander Gagarin ◽  
Roman Platonov ◽  
Tatiana Legkova ◽  
Andrey Altynnikov
Keyword(s):  
Material Properties ◽  
Figure Of Merit ◽  
Development Process ◽  
Phase Shifter ◽  
Ferroelectric Phase ◽  
Ferroelectric Material ◽  
Design Parameters ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Band Pass

A model of the estimation of the ferroelectric-based phase-shifter figure of merit concerning the material properties and phase-shifter design parameters is presented. The influence of ferroelectric material tunability and losses on phase-shifter characteristics are analyzed. Two approaches to phase-shifter design (transmission line and band-pass filter) are considered. The review of the published results on the ferroelectric phase-shifter design was performed to approve the method proposed. Recommendations to optimize the phase-shifter development process are suggested on the basis of the elaborated model and analysis performed.

Consideration of Social Impacts During the Early Stages of Product Development for Sustainable Design

2020 ◽  
Author(s):  
Hong Jia ◽  
Christopher A. Mattson ◽  
Gabrielle Johnson
Keyword(s):  
Product Development ◽  
Social Impact ◽  
Development Process ◽  
Social Dimension ◽  
Product Development Process ◽  
Design Parameters ◽  
Sustainable Solutions ◽  
Early Stages ◽  
Design Engineers ◽  
The Social

Abstract Besides the explicit economic and environmental impacts, the product development process also produces an implicit social value — known as social impact. To help product designers better understand and plan for the social impact that their product may have, we present a social impact checklist table. This checklist table was constructed after a simple study was conducted on the design and reuse of corrugated cardboard. The checklist table provides the designer the opportunity to more deeply consider eleven social impact categories, map those categories to key indicators, and ultimately design parameters that influence social impact. We introduce this checklist table at the early stages of the product development process, aiming to make the otherwise implicit notion of social impact more explicit and recognizable. The checklist table has the potential to make the social dimension of sustainability more accessible to design engineers; they can then better conceive of sustainable solutions and create products that generate positive social impact.

Using VBA Technology to Develop Two-Dimensional Gallery System of Components of Injection Moulds for Plastics

2012 ◽  
Vol 182-183 ◽  
pp. 793-797
Author(s):  
Cao Wei Chen ◽  
Li Jing Cai
Keyword(s):  
User Interface ◽  
Development Process ◽  
Design Parameters ◽  
Two Dimensional ◽  
Gallery System

The development process and method of using VBA technology to develop two-dimensional gallery system of components of injection moulds for plastics taking ejector pin for example is described in detail, which includes establishing parameters database of components, design and calling of user interface, program and menu. The two-dimensional gallery system of components of injection moulds for plastics developed in AutoCAD can generate two-dimensional drawing automatically with the design parameters that user selects and it is convenient for user to plot.

Low Noise Engine Development

2006 ◽  
Author(s):  
Norbert Alt ◽  
Christoph Steffens ◽  
Christof Nussmann
Keyword(s):  
Development Process ◽  
Simulation Models ◽  
Low Noise ◽  
Interior Noise ◽  
Surface Velocity ◽  
Design Parameters ◽  
Power Train ◽  
Noise Simulation ◽  
Airborne Noise ◽  
Engine Development

Nowadays power trains face an increased customer expectation regarding noise and vibration. This trend requires the use of simulation tools beginning in early phases of the development process to ensure a ‘low noise engine’ at the end of the development process. Therefore FEV is using virtual development methods for NVH optimization of power trains for more than ten years. Fully parameterized simulation models allow the utilization in all phases of the development. Depending on the current design status of the development the detailing of the simulation models can be adapted. Based on comparative simple rigid body models in the beginning decisions regarding engine global data like bore, stroke cylinder distance and positioning of balancer shafts can be made. Later on, when more design parameters are fixed the depth of simulation models is increased until a fully flexible model allows the prediction of the NVH behavior of the complete power train. Such a simulation is performed using a hybrid simulation approach based on Finite-Element and Multi-Body simulation. The FE model of the power train is loaded with excitation forces calculated with MBS in order to calculate surface velocity. Based on these results further simulation allows the simulation of the airborne noise radiation. Here, the simulated airborne noise simulation is combined with the so called virtual interior noise simulation (VINS) developed by FEV. This method allows a target-oriented engine development with focus on an excellent vehicle interior noise behavior. Within the scope of this paper the above described procedure is applied to a development of a gasoline inline four cylinder engine. The simulation methods are verified in each step of the development.

Design Parameter Investigation in Customer-Oriented Drive Train Development Using Human Sensation Modeling Tools

2009 ◽  
Author(s):  
Albert Albers ◽  
Sarawut Lerspalungsanti ◽  
Tobias Du¨ser ◽  
Sascha Ott
Keyword(s):  
Development Process ◽  
Friction Pair ◽  
Drive Train ◽  
Product Development Process ◽  
Design Parameters ◽  
Simulation Methods ◽  
Modeling Tools ◽  
Driving Situation ◽  
Comfort Evaluation ◽  
Start Up

The integration of customer demands in the early phase of product development process is one of most important aspects in the field of automotive engineering. In addition to a customer survey which generally requires drive tests of the real prototypes, methods based on the virtual product design have been applied more and more frequently. Due to the potential of simulation methods, the development time can be shortened and the costly prototypes as well as the time-consuming drive tests can be partially excluded. Earlier studies have demonstrated a capability of the developed methods and tools to support the customer-oriented drive train design by means of the prediction of the subjective comfort evaluation. In this case, the potential customers are classified into three groups based on their comfort expectation and style of driving. The rating from the customer point of view is accordingly achieved by modeling of the human sensation from the way the individual passengers make their evaluation by means of the Artificial Neural Networks (ANN). The objective of the current research is to implement the developed methods in the design phase of the drive train development process to enhance the customer comfortability. This article presents a systematic approach to apply the simulation methods in order to investigate different design parameters of the drive train and to determine the consequent customer comfort evaluation during each driving situation, the vehicle start-up as an example. For this purpose, the modification of the elaborated vehicle model is carried out by variation of the comfort-relevant design parameters, such as the friction coefficient gradient of the clutch friction pair, the mass of inertia and the damping of the components, like the dual mass flywheel. Depending on each drive train configuration and driver demand on the vehicle start-up, the simulated driving situation with different effects on the occurrence of the rotary vibration is evaluated by means of the human sensation model. This is developed during the drive tests on the basis of driver rating behavior. Based on the predicted comfort evaluations from different types of customer, the decisions made by the developer such as the determination of the clutch disk property or the damping setting of component can be efficiently supported during the drive train design. Hence, a new drive train concept can be tested and improved in such a way that the satisfaction of a target customer group from the first prototypes is obtained.

scholarly journals Road-to-rig-to-desktop: Virtual development using real-time engine modelling and powertrain co-simulation

2018 ◽  
Vol 20 (7) ◽  
pp. 686-695 ◽  
Author(s):  
Jakob Andert ◽  
Feihong Xia ◽  
Serge Klein ◽  
Daniel Guse ◽  
Rene Savelsberg ◽  
...  
Keyword(s):  
Real Time ◽  
Development Process ◽  
Test Bench ◽  
Measurement Data ◽  
Design Parameters ◽  
Engine Test ◽  
Engine Test Bench ◽  
Vehicle Simulation ◽  
Engine Model ◽  
Vehicle Testing

By front-loading of the conventional vehicle testing to engine test bench or even further forward to offline simulations, it is possible to assess a large variation of powertrain design parameters and testing manoeuvres in the early development stages. This entails a substantial cost reduction compared to physical vehicle testing and hence an optimisation of the modern powertrain development process. This approach is often referred to as road-to-rig-to-desktop. To demonstrate the potential of this road-to-rig-to-desktop methodology as a seamless development process, a crank angle–resolved real-time engine model for a turbocharged gasoline engine was built with the simulation tool GT-POWER®. The model was validated with measurement data from an engine test bench and integrated into a vehicle co-simulation, which also includes a dual clutch transmission, the chassis, the environment and the automated driver. The most relevant functions of the engine and the transmission control systems were implemented in a Simulink-based software control unit. To verify the engine model in the transient vehicle simulation, two 900-s time windows from a 2-h real driving emission test, representing urban and motorway conditions, are simulated using the developed co-simulation platform. The simulation results are compared with the respective vehicle measurement data. The fuel consumption deviation caused by the combustion engine model is within 5%. The transient system behaviour and the dominant engine operation points could be predicted with a satisfying accuracy.

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