The Experts below are selected from a list of 51 Experts worldwide ranked by ideXlab platform

Mamdouh El Haj Assad - One of the best experts on this subject based on the ideXlab platform.

  • Industrial Ventilation Design Guidebook - 8 – ROOM AIR CONDITIONING
    Industrial Ventilation Design Guidebook, 2001
    Co-Authors: Per Olaf Tjelflaat, Kim Hagström, Lars Olander, Esa Sandberg, Hannu Koskela, Alexander Zhivov, Timo Hautalampi, Hkon Skistad, Ralf Wiksten, Mamdouh El Haj Assad
    Abstract:

    This chapter describes the room air conditioning process, including the interaction of different flow elements: room air distribution, heating and cooling methods, process sources, and disturbances. Air conditioning design for an Industrial space must be focused on providing a safe and comfortable environment with a low health risk for workers. The main goal for indoor climate design for an Industrial hall is that the selected solution be effective for workers with respect to air quality and thermal comfort. Secondly, the climatization design should be as energy efficient as possible, which normally involves the minimization of outdoor airflow rate use through application of source control, local ventilation, and efficient space ventilation. This chapter helps in strategy selections and to make calculations to provide efficient room air conditioning for an Industrial Enclosure. The selection of the system and the set of methods should be made in such a way that the different strategies could be applied most efficiently. The clarification of the room air conditioning strategies and their separation from the practical methods at present creates space for creativity and new innovations and their evaluation.

Bin Zhou - One of the best experts on this subject based on the ideXlab platform.

  • Room air conditioning
    Industrial Ventilation Design Guidebook, 2020
    Co-Authors: Risto Kosonen, Bin Zhou
    Abstract:

    Abstract Air conditioning design for an Industrial space must be focused on providing a safe and comfortable environment with a low health risk for workers. Indoor climate design for an Industrial hall should be effective for workers with respect to air quality and thermal comfort. Thus prescribed design criteria must be met. Also, the set indoor climate targets should be guaranteed as energy efficient as possible, which normally involves the minimization of outdoor airflow rate use through application of source control, local ventilation, and efficient space ventilation. The objective of this chapter is to show how to select a strategy and to make calculations to provide efficient room air conditioning for an Industrial Enclosure. Design examples for simplified scenarios include different ways to condition Industrial halls.

Xavier Tort‐martorell Llabrés - One of the best experts on this subject based on the ideXlab platform.

  • Application of Kansei Engineering to Design an Industrial Enclosure
    2014
    Co-Authors: Lluís Marco Almagro, Xavier Tort‐martorell Llabrés
    Abstract:

    Kansei Engineering (KE) is a technique used to incorporate emotions in the product design process. Its basic purpose is discovering in which way some properties of a product convey certain emotions in its users. It is a quantitative method, and data is typically collected using questionnaires. Japanese researcher Mitsuo Nagamachi is the founder of Kansei Engineering. Products where KE has been successfully app lied include cars, phones, packaging, house appliances, clothes or websites, among others. Kansei Engineering studies typically follow a model with three main steps: (1) spanning the semantic space: defining the responses, those emotions that will be studi ed; (2) spanning the space of properties: deciding on the technical properties of the products that can be freely changed and that might affect the responses (factors in a DOE factorial design) and (3) the synthesis phase, where both spaces are linked (that is, how each factor affects each response is discovered). We claimed that KE is a good example of what Roger W. Hoerl and Ron Snee call statistical engineering: focusing not in advancement of statistics developing new techniques, fine tuning existing ones–but on how current techniques can be best used in a new area. This presentation is a practical application of the ideas exposed there to the design of electrical Enclosures. The paper shows how well known statistical methods (DOE, principal component analysis and regression analysis) are used together in conjunction with other non statistical techniques and in the presence of practical real world restrictions to discover how different technical characteristics of the Enclosures affect the selected “emotions”

Xavier Tort-martorell - One of the best experts on this subject based on the ideXlab platform.

  • Application of Kansei Engineering to Design an Industrial Enclosure
    2014
    Co-Authors: Xavier Tort-martorell
    Abstract:

    Kansei Engineering (KE) is a technique used to incorporate emotions in the product design process. Its basic purpose is discovering in which way some properties of a product convey certain emotions in its users. It is a quantitative method, and data is typically collected using questionnaires. Japanese researcher Mitsuo Nagamachi is the founder of Kansei Engineering. Products where KE has been successfully applied include cars, phones, packaging, house appliances, clothes or websites, among others. Kansei Engineering studies typically follow a model with three main steps: (1) spanning the semantic space: defining the responses, those emotions that will be studied; (2) spanning the space of properties: deciding on the technical properties of the products that can be freely changed and that might affect the responses (factors in a DOE factorial design) and (3) the synthesis phase, where both spaces are linked (that is, how each factor affects each response is discovered). In an earlier paper (Marco-Almagro, Tort-Martorell 2012) we claimed that KE is a good example of what Roger W. Hoerl and Ron Snee call statistical engineering: focusing not in advancement of statistics – developing new techniques, fine tuning existing ones – but on how current techniques can be best used in a new area. This presentation is a practical application of the ideas exposed there to the design of electrical Enclosures. The paper shows how well-known statistical methods (DOE, principal component analysis and regression analysis) are used together in conjunction with other non-statistical techniques and in the presence of practical real world restrictions to discover how different technical characteristics of the Enclosures affect the selected “emotions”.

Rolf K. Eckhoff - One of the best experts on this subject based on the ideXlab platform.

  • Scaling of dust explosion violence from laboratory scale to full Industrial scale – A challenging case history from the past
    Journal of Loss Prevention in the Process Industries, 2015
    Co-Authors: Rolf K. Eckhoff
    Abstract:

    Abstract The standardized K St parameter still seems to be widely used as a universal criterion for ranking explosion violence to be expected from various dusts in given Industrial situations. However, this may not be a generally valid approach. In the case of dust explosion venting, the maximum pressure P max generated in a given vented Industrial Enclosure is not only influenced by inherent dust parameters (dust chemistry including moisture, and sizes and shapes of individual dust particles). Process-related parameters (degree of dust dispersion, cloud turbulence, and dust concentration) also play key roles. This view seems to be confirmed by some results from a series of large scale vented dust explosion experiments in a 500 m 3 silo conducted in Norway by CMI, (now GexCon AS) during 1980–1982. Therefore, these results have been brought forward again in the present paper. The original purpose of the 500 m 3 silo experiments was to obtain correlations between P max in the vented silo and the vent area in the silo top surface, for two different dusts, viz. a wheat grain dust collected in a Norwegian grain import silo facility, and a soya meal used for production of fish farming food. Both dusts were tested in the standard 20-L-sphere in two independent laboratories, and also in the Hartmann bomb in two independent laboratories. P max and (dP/dt) max were significantly lower for the soya meal than for the wheat grain dust in all laboratory tests. Because the available amount of wheat grain dust was much larger than the quite limited amount of available soya meal, a complete series of 16 vented silo experiments was first performed with the wheat grain dust, starting with the largest vent area and ending with the smallest one. Then, to avoid unnecessary laborious changes of vent areas, the first experiment with soya dust was performed with the smallest area. The dust cloud in the silo was produced in exactly the same way as with the wheat grain dust. However, contrary to expectations based on the laboratory-scale tests, the soya meal exploded more violently in the large silo than the wheat grain dust, and the silo was blown apart in the very first experiment with this material. The probable reason is that the two dusts responded differently to the dust cloud formation process in the silo on the one hand and in the laboratory-scale apparatuses on the other. This re-confirms that a differentiated philosophy for design of dust explosion vents is indeed needed. Appropriate attention must be paid to the influence of the actual dust cloud generation process on the required vent area. The location and type of the ignition source also play important roles. It may seem that tailored design has to become the future solution for tackling this complex reality, not least for large storage silos. It is the view of the present author that the ongoing development of CFD-based computer codes offers the most promising line of attack. This also applies to design of systems for dust explosion isolation and suppression.