Need For Prototyping Research Articles

Baudrillard's Critical Theory of Political Economy

Baudrillard is a famous French postmodern philosopher with a vast array of theories and writings. Based on Baudrillard's reflection on Marx's critique of political economy, the article takes the social and ideological origins of the theory of mimesis as the starting point of the study. Unlike Marx, Baudrillard's theory of mimesis involves a 'model' that appears as the initial form of the mimesis. Baudrillard's argument that the proliferation of mimesis and simulation has led to the demise of the real, and that the real world can be produced through modelling without the need for prototypes, adds a new dimension to reflections on Marx's critical theory of society, and expands the horizons and methodologies of contemporary Marxist research. The paper traces the premise and development of the theory of mimesis by analysing the turn towards consumer society, and presents the specifics of mimesis theory as a whole by keeping in mind Baudrillard's principle of symbolic exchange and his reflections on modern technology. This paper analyses the concept of mimesis based on Baudrillard's later theories, and attempts to explain the specific connotations of mimesis and its related concepts. This paper focuses on three related concepts of mimesis: "mimesis", "hyperreal" and "implosion", and explains in detail the differences between these four concepts on the basis of Baudrillard's work. Based on Baudrillard's work, the differences between these four concepts are explained in detail. Explores the symbolic order, social entities, and media influences in which the concept of "mimesis" occurs.

Method Development for the Prediction of Melt Quality in the Extrusion Process.

Simulation models are used to design extruders in the polymer processing industry. This eliminates the need for prototypes and reduces development time for extruders and, in particular, extrusion screws. These programs simulate, among other process parameters, the temperature and pressure curves in the extruder. At present, it is not possible to predict the resulting melt quality from these results. This paper presents a simulation model for predicting the melt quality in the extrusion process. Previous work has shown correlations between material and thermal homogeneity and the screw performance index. As a result, the screw performance index can be used as a target value for the model to be developed. The results of the simulations were used as input variables, and with the help of artificial intelligence-more precisely, machine learning-a linear regression model was built. Finally, the correlation between the process parameters and the melt quality was determined, and the quality of the model was evaluated.

On the influence of different alcohol-type biofuels on performance and engine emissions of an SI engine

Greenhouse gas emissions (G.H.G.) from vehicles are the main source of pollution. In this transition period from fossil fuels to the use of synthetic fuels, the diversification of alternative fuels used to fuel internal combustion engines is seen as one of the best alternatives for reducing G.H.G. In Europe, conforming to the stringent emission reduction targets for 2030, as well as trying to fulfil the regulations of the new Euro VII standard will force engine manufacturers to adopt alternative fuel solutions with a low environmental impact. However, fossil fuels will continue to be used but alternative fuels will substantially decrease our dependence on petroleum-derived fuels. Modern simulation software tools make it easy to produce a fairly accurate analysis of how an internal combustion engine works without the need for prototyping. Packages such as Ricardo WAVE or AVL Boost, are relatively cheap and represent accessible tools for developing, designing, and testing modern internal combustion engines. AVL Boost is a widely used engine simulation tool a 1D (one-dimensional) simulation software that allows engineers and researchers to model, simulate, and optimize various internal combustion engines, including spark ignition (SI) engines, diesel engines, and hybrid powertrains. The software also offers a high degree of flexibility in terms of alternative fuel blends. This paper evaluates the influences of using alcohol-based biofuels on performance metrics and pollutant emissions, such as brake power, brake thermal efficiency, and emissions, such as CO, CO2, and NOx in a spark ignition engine. The effects of varying alcohol fractions in the gasoline-alcohol blends on engine performance and emissions are analysed and explained. In this study, several types of ethanol in gasoline blends were simulated (E25, E50, E85). The one-dimensional model of the tested engine was developed based on the design dimensions of the 1.2L TCe H5FT engine produced by Renault. In the context of maintaining constant engine power output, the findings from the simulation results indicate that the utilization of alcohol-based blends with a high volumetric percentage of alcohol (ranging from 70-90%) can result in a substantial increase in fuel consumption, particularly in the case of methanol blends. Consequently, this phenomenon is associated with an elevated emission of carbon dioxide (CO2). However, it should be noted that despite this drawback, there is evidence of an inclination towards reduced emissions of other pollutants due to the enhanced combustion processes facilitated by the higher ratio of oxygenated compounds and a lower peak temperature. Methanol, one of the two alcohols investigated in this study, is not recommended for usage in fuel blends for several reasons. Firstly, the consumption rate of methanol is higher compared to ethanol, which can result in increased fuel usage. Secondly, methanol poses health risks due to its toxicity at certain levels, posing potential hazards in handling and utilization. Moreover, high concentrations of methanol are not easily miscible with gasoline without the addition of co-solvents, further limiting its feasibility as a viable fuel component.

Fourier tools for the evaluation of refractive multifocal designs

This paper presents innovative tools and methodologies for the theoretical assessment of optical properties in refractive multifocal designs. Utilizing lens segmentation techniques and classical Fourier optics, these tools can be of help evaluating multifocal contact lenses, intraocular lenses, small aperture designs, and corneal inlays. As an example of their utility, this study presents the through-focus Visual Strehl ratios in the frequency domain of 12 multifocal contact lenses from four companies, derived from the sagittal power profiles obtained with a NIMO equipment (LAMBDA-X) for three base prescriptions (− 6.00 D, − 3.00 D, and + 1.00 D). The contact lenses are also assessed alongside higher-order aberrations obtained from 65 eyes, measured using a Wavefront Sciences Complete Ophthalmic Analysis System (AMO). Diameter variations, corresponding to individual pupil sizes (2.45–6.27 mm), were considered in the evaluation. These novel tools enable the theoretical evaluation of multifocal solutions without the need for prototypes. In the case examples presented, they differentiate between lenses tailored for different presbyopic age groups, offer guidance on optimizing hyperfocal distance in contact lens design, and underscore the relevance of the effective aperture effect. Notably, this paper introduces the pioneering conversion of sagittal powers of multifocal solutions into an equivalent wavefront and optical quality metric, with potential applications in myopia control assessments. The author hopes that readers recognize and utilize these tools to advance the field of refractive multifocality.

Numerical evaluation and experimental validation of fluid flow behavior within an organ-on-a-chip model

Background and ObjectiveBy combining biomaterials, cell culture, and microfluidic technology, organ-on-a-chip (OoC) platforms have the ability to reproduce the physiological microenvironment of human organs. For this reason, these advanced microfluidic devices have been used to resemble various diseases and investigate novel treatments. In addition to the experimental assessment, numerical studies of biodevices have been performed aiming at their improvement and optimization. Despite considerable progress in numerical modeling of biodevices, the validation of these computational models through comparison with experimental assays remains a significant gap in the current literature. This step is critical to ensure the accuracy and reliability of numerical models, and consequently enhance confidence in their predictive results. The aim of the present work is to develop a numerical model capable of reproducing the fluid flow behavior within an OoC, for future investigations, encompassing the geometry optimization. MethodsIn this study, the validation of a numerical model for an OoC microfluidic device was undertaken. This comprised both quantitative and qualitative assessments of trace microparticles flowing through a physical OoC model. High-speed microscopy images of the flow, using a blood analog fluid, were analyzed and compared with the numerical simulations run using the Ansys Fluent software. For a qualitative analysis, the particles’ paths through the inlet and bifurcations were observed whereas, for a quantitative analysis, the particle velocities were measured. Furthermore, oxygen transport was simulated and evaluated for different Reynolds numbers. ResultsIn both qualitative and quantitative analyses, the results predicted by the numerical model and the ones outputted by the experimental model were in good agreement. These findings underscore the capability and potential of the developed numerical model. The examination of oxygen transport at various vertical positions within the organoid has revealed that for lower positions, oxygen transport predominantly occurs through diffusion, leading to a symmetric distribution of oxygen. Contrastingly, the convection phenomenon becomes more evident in the upper region of the organoid. ConclusionsThe successful validation of the numerical model against experimental data shows its accuracy and reliability in simulating the fluid flow within the OoC, which consequently can expedite the OoC design process by reducing the need for prototypes’ fabrication and costly laboratory experiments.

Opaque Coloured Building Integrated Photovoltaic (BIPV): A Review of Models and Simulation Frameworks for Performance Optimisation

Coloured building integrated photovoltaics (BIPVs) may contribute to meeting the decarbonisation targets of European and other countries. Nevertheless, their market uptake has been hindered by a lack of social acceptance, technical issues, and low economic profitability. Being able to assess in advance the influence of the coloured layers on a module’s power generation may help reduce the need for prototyping, thereby allowing optimisation of the product performance by reducing the time and costs of customised manufacturing. Therefore, this review aims at investigating the available literature on models and techniques used for assessing the influence of coloured layers on power generation in customised BIPV products. Existing models in the literature use two main approaches: (i) detailed optical modelling of the layers in the module’s stack, including coloured layers, and (ii) mathematical elaboration of the final product’s measured characteristics. Combining the two approaches can provide improved future models, which can accurately assess every single layer in the module’s stack starting from measured parameters obtained with simpler equipment and procedures.

Numerical-experimental comparison of radial fans applied in pneumatic transport of agricultural fertilizer spreaders

ABSTRACT This study presents a numerical and experimental comparison of two different types of radial fans used in an agricultural fertilizer spreader at a rotation of 4000 rpm. The numerical analysis was validated through experiments conducted on a test bench using a hot-wire anemometer for velocity measurements and a Pitot tube for pressure readings. A simulation of the agricultural fertilizer spreader was carried out after the experimental validation of the mathematical models of the radial fans on the test bench to evaluate the air distribution behavior along the application nozzles, which was compared to the experimental results. A turbulent mean-field was obtained using the Reynolds Averaged Navier Stokes (RANS) and the k-Epsilon turbulence model was used for two equations. The computational fluid dynamics software CFX 18.1 was used to solve the transport equations. Unstructured tetrahedral meshes generated by the ICEM CFD 18.1 software were used in all models. The applied method is adequate and able to reproduce the fluid-dynamic behavior of airflow in pneumatic systems of agricultural fertilizer spreaders, avoiding the need for prototypes.

Axiology and Praxeology of Design Thinking

This article discusses the methodological and axiological foundations of design, the determinants of design, objective and subjective aspects of design, and designer’s value guidelines. Since the earliest stages of its history, design as a type of creative practice existed and developed an integral connection with mass production. Unlike architecture or visual, decorative and applied arts, design forms a part of economic production and communicative processes, and also influences economic, marketing, political and ecological situations. This article demonstrates the evolution of systemic and environmental approaches to design, the transition from methodological, functional and morphological techniques for solving of problems within individual concepts of design to axiological, philosophical and ecological approaches. Design is characterized by the following features: an interdisciplinary approach; team work; empathy; the need for prototyping and testing of the object; and inclusion in sociocultural processes. The design object is analysed in terms of its value to the consumer.
 Keywords: culture, value, design, methodology of design, design thinking, empathy, consumer

HOUSE'S SOLAR CHIMNEY A NUMERICAL ANALYSIS ON THE THERMAL PERFORMANCE IN JAKARTA

The abundance of solar light in tropical countries is the advantage of the utilization of solar energy. Increasingly expensive electricity forces buildings to use passive ventilation as building coolers. One of them is the use of the stack effect through the solar chimney. The absence of residential buildings that use the solar chimney as part of a passive ventilation system makes the need for prototypes for residential buildings. The application of solar chimney to homes in Jakarta is something new. Six types of the solar chimney have been tested on a prototype, one-story residential houses in Jakarta. The location was assumed to be in the densely populated area of South Jakarta. Wind velocity ambient data using Rubber locations. Using Ansys 16.0, simulations have been carried out, and solar chimney with double-full roof collector was able to induce a wind velocity of 0.41 m/s on average

The neural particle method – An updated Lagrangian physics informed neural network for computational fluid dynamics

Today numerical simulation is indispensable in industrial design processes. It can replace cost and time intensive experiments and even reduce the need for prototypes. While products designed with the aid of numerical simulation undergo continuous improvement, this must also be true for numerical simulation techniques themselves. Up to date, no general purpose numerical method is available which can accurately resolve a variety of physics ranging from fluid to solid mechanics including large deformations and free surface flow phenomena. These complex multi-physics problems occur for example in Additive Manufacturing processes. In this sense, the recent developments in Machine Learning display promise for numerical simulation. It has recently been shown that instead of solving a system of equations as in standard numerical methods, a neural network can be trained solely based on initial and boundary conditions. Neural networks are smooth, differentiable functions that can be used as a global ansatz for Partial Differential Equations (PDEs). While this idea dates back to more than 20 years (Lagaris et al., 1998), it is only recently that an approach for the solution of time dependent problems has been developed (Raissi et al., 2019). With the latter, implicit Runge–Kutta schemes with unprecedented high order have been constructed to solve scalar-valued PDEs. We build on the aforementioned work in order to develop an Updated Lagrangian method for the solution of incompressible free surface flow subject to the inviscid Euler equations. The method is straightforward to implement and does not require any specific algorithmic treatment which is usually necessary to accurately resolve the incompressibility constraint. Due to its meshfree character, we will name it the Neural Particle Method (NPM). It will be demonstrated that the NPM remains stable and accurate even if the location of discretization points is highly irregular.

Characterization of mechanical properties and fracture mode of additively manufactured carbon fiber and glass fiber reinforced thermoplastics

Continuous fiber-reinforced polymer (FRP) composites have been used for many applications to create strong yet lightweight products due to their high strength-to-weight and stiffness-to-weight ratios. Aerospace [1], automotive [2], and sport [3]industries are three of the few industries that have been using FRP composites. The increasing need for prototyping and customization of fiber reinforced polymer composite parts is prompting innovations in new manufacturing processes to realize short manufacturing cycle time and low production cost, which is challenging to accomplish using conventional molding process. Fused filament fabrication (FFF) - a material extrusion additive manufacturing (AM) technique trademarked as fused deposition modelling (FDM) by Stratasys- holds promise to achieve low-cost production on continuous fiber-reinforced thermoplastic (FRTP) composites. In this paper, the FFF technique is employed to fabricate continuous carbon and glass FRTP composites and its microstructural characteristics and the resulting tensile, flexural, and quasi-static indentation characteristics of the printed composites are examined. Additionally, the fracture behavior of each test sample is evaluated and discussed in detail.

Trade-off Curves Applications to Support Set-based Design of a Surface Jet Pump

Knowledge has become the most important asset of companies, especially in improving their product development processes. The set-based design approach is an efficient way of designing high quality, optimised designs. However, it requires a proven knowledge environment. Trade-off curves (ToCs) have the capability of providing the right knowledge and displaying it in a visual form. Although there are a few applications of ToCs that have recently been published in the literature, none of them demonstrates an integrated implementation of ToCs throughout the SBCE process. This paper presents the integrated use of ToCs, based on both physics-knowledge and proven knowledge, in order to compare and narrow down the design-set and to achieve an optimal design solution. These are key activities of the SBCE process model. Since an accurate, documented and visual knowledge environment is created by the use of ToCs within SBCE, the integrated approach proposed in this paper plays a vital role in eliminating the need for prototyping and testing at the early stages of product development. The integrated approach was implemented in an industrial case study for a surface jet pump. Surface jet pumps are used to increase the production rate of low-pressure oil/gas wells. It has been found that through ToCs, the conflicting relationships between the characteristics of the product can be understood and communicated effectively among the designers. This facilitated the decision-making on an optimal design solution in a remarkably short period of time. Furthermore, the surface jet pump resulting from the case study achieved an increase of the oil/gas production by nearly 60%.

Reconstruction of refocusing and all-in-focus images based on forward simulation model of plenoptic camera

In this paper, we establish a forward simulation model of plenoptic camera which is implemented by inserting a micro-lens array in a conventional camera. The simulation model is used to emulate how the space objects at different depths are imaged by the main lens then remapped by the micro-lens and finally captured on the 2D sensor. We can easily modify the parameters of the simulation model such as the focal lengths and diameters of the main lens and micro-lens and the number of micro-lens. Employing the spatial integration, the refocused images and all-in-focus images are rendered based on the plenoptic images produced by the model. The forward simulation model can be used to determine the trade-offs between different configurations and to test any new researches related to plenoptic camera without the need of prototype.

The effect of irradiance mismatch on a semi-dense array of triple-junction concentrator cells

A method to determine the effect of cell-to-cell non-uniformity on CPV module performance is applied to a high-concentration photovoltaic system, comprising a linear semi-dense array of 5 series-connected 1cm2 triple-junction concentrator cells (lattice-matched GaInP/GaAs/Ge). Characteristic irradiance distributions were obtained by Monte Carlo ray-tracing of the concentrator optical system. Spatial apodizing filters were then produced such that, when illuminated with a spatially uniform radiation source, the desired irradiance distribution is obtained behind the filter. An equivalent circuit model of the array was developed and fitted against reference uniform irradiance measurements at concentrations ranging from 10x to 1678x. The fitted model was then validated vis-à-vis measurements under non-uniform irradiance imposed by the filters at concentrations from 99x to 494x. Both experimental and simulated results show a characteristic stepped I–V behavior associated with irradiance mismatch in series-connected arrays. Under the worst-case conditions of irradiance mismatch over the array, the efficiency drops to 28.5% as compared to 39% for the case of perfect uniformity. Due to the translational symmetry of the primary concentrator, a redesign of the module with parallel cell interconnects enables to mitigate the effects of irradiance mismatch. The methods provide an experimentally verifiable approach to determine the effect of irradiance mismatch on concentrator solar cell arrays without the need for prototyping of the concentrator optics. They may further be applied to determine the underlying characteristics and properties of cells and arrays subjected to nonuniform irradiation.

Understanding and modelling the torsional stiffness of harmonic drives through finite-element method

Torsional stiffness or rigidity is a crucial characteristic in the design of transmission devices, including harmonic drives (HDs). Among the various design aspects constituting a reduction mechanism in robotic systems, torsional stiffness is an important factor for positioning accuracy and control issues. One of the major advantages of HDs is their capacity to present a high reduction ratio while maintaining a small hardware size. However, manufacturing these drives remains a complex and costly process due to the high precision of its machined components; as a result, the use of such drives is still limited only to high-end mechanical products and technologies. Given these costs, numerical analysis becomes an effective alternative for obtaining valuable data through simulations, without the need for prototypes. This article presents a finite-element model to reproduce the behaviour of the torsional stiffness of an HD. The numerical model allows an evaluation of the effects of various geometrical parameters on the torsional stiffness of the HD. The numerical model of the HD can be used for optimization purposes, i.e. to develop an HD with a high torque capacity combined with a high-rated lifespan.

VR at TWR

The application of virtual reality technology to car design and manufacturing has the potential to revolutionise the automotive industry. It allows all of the parts in a CAD system to be brought together, greatly reducing the need for prototypes. TWR uses SGI's Reality Centre technology.

DC to daylight: using computer simulation to predict electromagnetic fields

Over recent years the pressures put upon design engineers to produce new, better and cheaper `widgets” has steadily increased. The need for companies to remain competitive requires that products be designed better and often within shorter time scales. In some cases, laws have changed to require tighter restrictions on designs-such as electronic components and systems (electromagnetic compatibility). What many designers no not realise is that within a wide range of engineering and physics disciplines, effective computer tools exist to allow designs to be created and simulated, without the lengthy and expensive need for prototyping.

A knowledge-based approach for improving information and decision making in a small business

This article describes the development of a prototype knowledge-based decision support system for a small manufacturing company. The prototype was designed to aid in the diagnosis and resolution of various production problems, as well as to assist in the collection and recording of information required for improved management decision making, as the first step toward a fully-integrated, real-time expert system for production management. The project illustrates a number of auxiliary issues and lessons arising from the development of the prototype system. These include: (1) the effectiveness of a multiple-expert approach in modeling the knowledge that comprises the system, (2) the need for prototyping during the incremental system development process, and (3) the growing impact of inexpensive software development tools and microcomputers on the ability of small companies to develop and implement highly-specialized knowledge-based systems.