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EN
The current study focuses on the performance of a solar greenhouse dryer for drying of potato chips in Solar Dryer and Open sun conditions in Western Maharashtra. Potato chips is a value added product that can be effectively used during throughout the year as snacks, a side dish or an appetizer. It can be either deep dried or backed for consumption. The dried potato contains a high fiber content and it helps to lower the cholesterol level in blood reducing the risk of blood pressure if consumed backed. Potato chips can effectively be stored for one year to six months and consumed as snacks. The experiment was conducted for drying of potato chips in Solar Greenhouse Dryer and open sun conditions on 1st of April 2021 for 6 hours. The initial weight of the potato chips to be dried was 500 grams both for the solar greenhouse dryer and open sun drying conditions. The experiment was conducted at Bahe, Borgaon, Tal-Walwa, Dist-Sangli, Maharashtra, India located at 17.115°N and 74.33°E. The experimental observations collected during the tests were set as input data for the Design of the Experiments (DoE) i.e., for Response Surface Modelling (RSM). The main aim of using DoE i.e., Response Surface Modelling, is to obtain an optimum region for drying of potato chips in the Solar Greenhouse Dryer, from the surface plot; the region of maxima and minima was obtained. The contour plot obtained during modeling resembles the optimum region of drying; the optimum region for drying of potato chips is 47 to 50°C respectively. The Moisture Removal Rate (MRR) for drying of potato chips in the Solar Greenhouse Dryer and Open sun drying is 83% and 78% respectively. The drying rate observed during the experiment has a better resemblance with simulated Response Surface Modelling.
EN
The current study focuses on the performance of the Solar Greenhouse Dryer for drying of grapes for raisin production in the Solar Dryer and Open sun condition in Western Maharashtra. The grape is also known as Vitis Vinifera, and it is a sub-tropical fruit with excess pulp content. The grapes are used as an immune booster as it contains various Phyto-chemicals which reduce various diseases. It is estimated that nearly 80% of grapes produced in India are exported to European countries. The Maharashtra state ranks first in the production of grapes; probably, Western Maharashtra produces nearly 800 thousand tons of grapes every year. The major wastage of grapes is due to a low sugar content, glossy appearance, shrinkage, excess water in the berry, scorching and size variations. Therefore, there is a need to preserve grapes by drying and production of raisins for a non-seasonal requirement. The experiment was conducted for drying of grapes in the Solar Greenhouse Dryer and Open Sun conditions from 1st of April to 4th of April for 48 hours. The initial weight of the grapes to be dried was 500 grams for both the Solar Greenhouse Dryer and Open Sun drying conditions. The experiment was conducted at Bahe, Borgaon, Tal-Walwa, Dist-Sangli, Maharashtra, India located at 17.115oN and 74.33oE. The experimental observations collected during the `experimentation were set as input data for the Design of Experiments i.e., for Response Surface Modelling (RSM). The main aim of using DOE i.e., Response Surface Modelling, is to obtain an optimum region for drying of grapes in the Solar Greenhouse Dryer, from the Surface plot; a region of maxima and minima was obtained. The contour plot obtained during modelling resembles the optimum region of drying, the optimum region for drying grapes is 45 to 50oC respectively. The Moisture Removal Rate (MRR) for drying of grapes in the Solar Greenhouse Dryer and in the Open Sun drying is 73.6% and 57.2% respectively. The drying rate observed during the experiment has a better resemblance with simulated Response Surface Modelling.
EN
The research aims to emphasise the relevance of the Design of Experiments (DOE) technique as a reliable method for ensuring efficient use of statistical methods in routine industrial processes. A case study approach with a deductive strategy was used to assess the effectiveness of different DOE methods to achieve the desired objectives. Screening, mid-resolution and high-resolution DOE methods helped identify, characterise, and optimise an experimental variable against the desired output response. A general framework for effective DOE is provided as part of DOE planning, including defining DOE objectives, selection criteria, noise reduction, and application across industries. Overall, various DOE models proved successful in identifying a complicated relationship between experimental variables and output response. However, when ideal DOE models may not be feasible, reducing test run by choosing lower resolution DOE or fewer replicates can still provide important insights into the experimental variables’ impact on output responses.
EN
A series of steps taken to determine a kinetic equation that describes hydrogenation of propene on nickel catalyst is presented in this study. Mixed factorial design approach, belongs to designing of experiments methods was used to plane experiments. The investigations showed that the method applied makes possible determination of the kinetic equation in a relatively fast and cheap manner since only a few measurement points is required. The equation obtained was verified experimentally and statistically. Both tests showed satisfactory precision of anticipated values of the process rate.
EN
Taguchi design of experiments is a method used in engineering, especially in the field of new product development, for optimizing production processes and improving product quality. The Taguchi method is widely used in the field of industrial engineering. The purpose of this study is to investigate the applicability of the Taguchi method for other tasks, such as optimizing search results. Using the Taguchi method, we assess the popularity of three names for COVID-19 that have been used by scientists in research related to COVID-19 in the context of Vietnam. The results show the positive value of using the Taguchi method to optimize search results. The keyword COVID-19 is found to be the most-used keyword. The results also show that disease prevention, spread, infection, transmission, treatments, preparation, and responses to the disease are particularly interesting research topics in Vietnam at present.
6
Content available The smoothed bootstrap fine-tuning
EN
The bootstrap method is a well-known method to gather a full probability distribution from the dataset of a small sample. The simple bootstrap i.e. resampling from the raw dataset often leads to a significant irregularities in a shape of resulting empirical distribution due to the discontinuity of a support. The remedy for these irregularities is the smoothed bootstrap: a small random shift of source points before each resampling. This shift is controlled by specifically selected distributions. The key issue is such parameter settings of these distributions to achieve the desired characteristics of the empirical distribution. This paper describes an example of this procedure.
EN
The paper considers the use of the bootstrap method to improve the determination of confidence intervals identified by the DOE (design of experiment) procedure. Two different approaches have been used: one that is appropriate for factorial designs and the other one relevant to the methodology of the response surface. Both approaches were tested on the real experiment datasets and compared with the results obtained from the classical statistical expressions based on well known asymptotic formulas derived from the distribution.
EN
3D polymer-based printers have become easily accessible to the public. Usually, the technology used by these 3D printers is Fused Deposition Modelling (FDM). The majority of these 3D printers mainly use acrylonitrile butadiene styrene (ABS) and polylactic acid (PLA) to fabricate 3D objects. In order for the printed parts to be useful for specific applications, the mechanical properties of the printed parts must be known. The aim of this study is to determine the tensile strength and elastic modulus of printed materials in polylactic acid (PLA) according to three important printing parameters such as deposition angle, extruder temperature and printing speed. The central composite design (CCD) was used to reduce the number of tensile test experiments. The obtained results show that the mechanical properties of printed parts depend on printing parameters. Empirical models relating response and process parameters are developed. The analysis of variance (ANOVA) was used to test the validity of models relating response and printing parameters. The optimal printing parameters are determined for the desired mechanical properties.
9
Content available remote Numerical Simulation of Low Velocity Impact Analysis of Fiber Metal Laminates
EN
A Fiber Metal Laminate (FML) consists of a laminate of several thin metal layers bonded with fiber–reinforced layers of composite materials. In this paper, the response of a fiber metal laminate is analysed on the basis of the residual velocity of the impactor. With the help of Design of Experiments (DOE) the data sets are generated and the residual velocity of the impactor was obtained by using Finite Element Analysis (FEA) software ABAQUS/Explicit. The FEA results are compared with experimental results available in the literature. Analysis of Variance (ANOVA) is used to understand the influence of process parameters on the response of FMLs. Results show that impactor geometry and thickness of the FML plate were the significant process parameters related to the response of low velocity impact analysis of FML and fiber configurations were found to be insignificant with regard to low velocity impact analysis performance. Finally the results show that aluminium based Aramid fibers (ARALL) and aluminium based glass fibers (GLARE) have higher impact strength when compared to other kinds of FMLs such as aluminium based carbon fibers (CARALL). Stress distribution in glass epoxy based FMLs are also studied.
PL
Inwestowanie w prace prowadzone metodą błądzenia przypadkowego najczęściej jest nieopłacalne, dlatego poszukiwanie optymalnych i użytecznych rozwiązań wymaga szybkiego prowadzenia efektywnych badań. W ich planowaniu pomocne mogą być metody statystyki matematycznej. Materiał zawarty w artykule opracowano w ramach pracy pt.: "System głębokowodnych nurkowań trimiksowych ".
EN
Investing in research using the method of accidental erring is most often highly unprofitable due to the need for quick and efficient tests and decisions. That is why today scientists look for optimal and more efficacious statistical methods for research design. This paper presents the result of a project entitled: "Deep Diving Trimix System", sponsored by the Naval Academy, Gdynia.
PL
Jakość obok ceny, krótkich terminów realizacji zamówień i terminowości dostaw jest jednym z najważniejszych kryteriów konkurencyjności. W przypadku przemysłu samochodowego, gdzie produkt kierowany jest na rynek dóbr konsumpcyjnych, jakość nabiera szczególnie istotnego znaczenia.
EN
The quality, with product price and short delivery, is a basic criterion of competitiveness. In case of automotive (car) industry it plays additionally very specific and significative role. Therefore it must be considered in all phases of product development. For instance 75% of errors arise during designe and planning process, 20%-in manufacturing; 60% of faults is detected between different production stages, and ca 80% of errors - in the ending phases. The application of effective quality assurance methods in the car industrial sector in all phases of product preparation and realizaction, influences on the final effect and possible success. They are profoundly described in the presented article.
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