Analysis of the influence of selected parameters process on the performance of fluidized bed opposed jet mill. part IV: Forecasting of particle size distribution of grinding product
Fatigue of Aircraft Structures Vol. 1 (2014) 63-71 10.1515/fas-2014-0005 THE ANALYSIS OF THE INFLUENCE OF RIVETING PARAMETERS SPECIFIED IN SELECTED RIVETING
Significant influence on the filling progress of a mold cavity has a gate and its geometry. Within the gate, the final increasing of melt flow velocity arises and determines the filling mode. The contribution is devoted to the influence of the gate height on selected technological parameters.
Evaluating the influence of selected parameters on sensitivity of a numerical model of solidification N. Sczygiol, R. Dyja* Institute of Computer and Information Sciences, Częstochowa University of Technology, Dąbrowskiego St 73, 42-200 Częstochowa, Poland *Corresponding author. E-mail address: [email protected]
Generally, metal structural elements of aircraft are placed in zones of critical load; in most cases, these elements are manufactured by machining processes. The fatigue life of these components is an important dynamic property that may be strongly affected by the surface condition produced during machining. In this paper a preliminary study of the influence of cutting parameters on fatigue
2020-7-16 · This paper is a comprehensive review of the meltblown process and parameters. The meltblown process is complex because of the many parameters and interrelationships between those parameters. Due to the competitiveness of the industry, process settings and polymers used are secretive, but there are several key researchers that have published studies on the interactions of
2019-5-1 · The technology of 3D Concrete Printing (3DCP), an extrusion based additive manufacturing technique in which linear filaments of cementitious mortars are deposited on top of each other to gradually form objects without the aid of a formwork (), has progressed rapidly over the last years.The viability of this manufacturing method for actual structures in the domain of infrastructure, residential
This paper is devoted to the analysis of the influence of thermal pads on electric, optical, and thermal parameters of power LEDs. Measurements of parameters, such as thermal resistance, optical efficiency, and optical power, were performed for selected types of power LEDs operating with a thermal pad and without it at different values of the diode forward current and temperature of the cold
A method for process analysis includes acquiring first inspection data, using a first inspection modality, with respect to a substrate having multiple instances of a predefined pattern of features formed thereon using different, respective sets of process parameters. Characteristics of defects identified in the first inspection data are processed so as to select a first set of defect locations
11 小时前 · The paper reviews the influence of the parameters of the coagulation process on the efficiency of the suspension treatment process. The coagulation studies of a selected group of suspensions were carried out, with the determination the effect of the dose and the type of coagulant and the conditions of the coagulation process on the obtained
2017-3-19 · Influence of Process Parameters in EDM Process- A Review K.S Morankar The selected machining parameters were discharge current, pulse on time and feed of the tool. They observed that current have the statistical significance on MRR whereas TWR is The major responses selected for this analysis were MRR, TWR and radial overcut or gap and
2020-6-20 · From the literature, it is observed that influence of different process variables on friction stir welded dissimilar alloys and Static Structural Finite Element analysis is investigated. The study of process parameters and Transient Finite Element analysis involving cylindrical/conical tool are very limited especially at T6/T651 conditions.
2020-7-20 · Abstract: This paper is devoted to the analysis of the influence of thermal pads on electric, optical, and thermal parameters of power LEDs. Measurements of parameters, such as thermal resistance, optical efficiency, and optical power, were performed for selected
2017-10-12 · optimizing various blanking process parameters following objectives are decided 1. To review the literature on blanking process. 2. To design the die for selected blanking operation. 3. Select various process parameters for in-depth analysis. 4. To optimize selected blanking process parameters. 5.
2016-9-27 · parameters are believed to be the most important factors. For Process parameter influence on selected quality features in high-pressure die casting F. Schmidt M.Sc., M. Müller M.Sc., U. Vroomen, A. Bührig-Polaczek The comprehension of coherences between process parameters and cast part quality in high-pressure die casting is an
Fatigue of Aircraft Structures Vol. 1 (2014) 63-71 10.1515/fas-2014-0005 THE ANALYSIS OF THE INFLUENCE OF RIVETING PARAMETERS SPECIFIED IN SELECTED RIVETING
The paper presents results of the analysis of selected parameters of blast furnace operation and the influence of various factors on them. The study was carried out in cooper ation with a Blast-Furnace Department of a Polish steel-works and was based on the results coming from this Department. The analysis covers the period of one calendar year.
2019-9-29 · calculation analysis 11 analyinto sis steps. Step 1: Establish the initial geostress field. Step 2: Simulate the water level in the precipitation well to drop by 2.8m. The analysis steps 3 to 11 are all precipitation simulations, each of which is 2.8m deep, that is, a total of ten precipitation analysis steps reduce the water level in the well
2019-7-1 · machine process parameters that will influence Quality Characteristic (i.e. Weight) and subsequently, reduce the short shots. 2. Taguchi Technique 2Taguchi and Konishi had developed Taguchi techniques. [6] These techniques have been utilized widely in engineering analysis
11 小时前 · The paper reviews the influence of the parameters of the coagulation process on the efficiency of the suspension treatment process. The coagulation studies of a selected group of suspensions were carried out, with the determination the effect of the dose and the type of coagulant and the conditions of the coagulation process on the obtained
It also includes finding the influence of particular process parameters on each selected output parameter, analysis of variance (ANOVA), and regression analysis for each output parameter. For this purpose, traverse speed and water pressure have been selected as process parameters, and pocket size, pocket depth, and surface roughness have been
2019-7-23 · This article aims to use the methodology of dimensional analysis to determine the influence of process parameters in selective laser melting of metal powders. The complexity of the selective laser melting process, in fact, does not allow a full evaluation of
2020-7-16 · The influence of each milling parameter affecting surface roughness was analyzed using analysis of variance (ANOVA). The significant machining parameters affecting the surface roughness were the feed rate, spindle speed, and tool diameter (p < 0.05). There was no significant influence of axial depth of cut on the surface roughness.
2017-1-24 · influence of the parameters on warpage at the same time. Fractional factorial design can be used to investigate the effects of two or more factors, it is more efficient than one-factor-at-a-time experiments. In the present study, the following parameters are selected as subject investigated: flow rate, V/P switch-over, mold temperature, melt
2019-7-1 · machine process parameters that will influence Quality Characteristic (i.e. Weight) and subsequently, reduce the short shots. 2. Taguchi Technique 2Taguchi and Konishi had developed Taguchi techniques. [6] These techniques have been utilized widely in engineering analysis
2016-7-20 · tempering process and consequent hardening of the material16. When the process parameters are selected and applied successfully, a decrease of the crack and fatigue of the materials is clearly indicated after the induction hardening process. However, the influence of the process parameters
Influence of Drilling Parameters on Torque during Drilling of GFRP DOE of MATLAB software is a versatile tool for analyzing the influence of process parameters over some unknown function of specific variable viz., force and torque. Experimental results and analysis. The main purpose of selected experiment is to investigate the important
2009-10-27 · Incremental dynamic analysis (IDA), recommended by ATC-63 Report, is implemented for the frames to obtain their collapse possibilities under different earthquake intensities. Then, the influence of structural system parameters to the seismic collapseanalyzed.
2016-7-7 · the influence of different GMAW welding process parameters on the final weld geometry, and especially on penetration, toe radius and bead thickness. This will be achieved by developing prediction models of those output parameters in terms of the input parameters with the help of statistical analysis
2019-7-23 · This article aims to use the methodology of dimensional analysis to determine the influence of process parameters in selective laser melting of metal powders. The complexity of the selective laser melting process, in fact, does not allow a full evaluation of
The main topic of this article is a description of the real behavior of selected statically loaded anchor joints — design of individual anchor joint components in context of determination of selected parameters used during the anchor joint optimization process.
2020-7-16 · The influence of each milling parameter affecting surface roughness was analyzed using analysis of variance (ANOVA). The significant machining parameters affecting the surface roughness were the feed rate, spindle speed, and tool diameter (p < 0.05). There was no significant influence of axial depth of cut on the surface roughness.
2008-9-8 · Quality of welded joint at MAG welding process depends of numbers of influences, like type and thickness of base metal, groove type, welding position etc., but the proper selection of welding parameters is also very important. Due to that, the analysis of weld bead geometry at MAG welding process with regard to weld current, voltage and weld
2020-4-1 · Influence of Process Parameters on Depth of Penetration process parameters and levels are selected For Experimental design Taguchi method is applied to find out number of readings. To find out percentage contribution of each input Analysis of Variance (ANOVA) is a statistically based
2016-7-20 · tempering process and consequent hardening of the material16. When the process parameters are selected and applied successfully, a decrease of the crack and fatigue of the materials is clearly indicated after the induction hardening process. However, the influence of the process parameters
2016-7-7 · the influence of different GMAW welding process parameters on the final weld geometry, and especially on penetration, toe radius and bead thickness. This will be achieved by developing prediction models of those output parameters in terms of the input parameters with the help of statistical analysis
2018-7-9 · OPTIMIZATION OF CASTING PROCESS PARAMETERS USING RESPONSE SURFACE METHOD WITH DMAIC 6.1 INTRODUCTION The objectives, quality improvement, including reduction of FMEA method is used to identify the influence on process preparation are selected for analysis as second step of cause-and-effect matrix and it is correlated with the FMEA
2017-3-31 · removal process that the acting forces directly influence cutting parameters [2]. In the case of single point cutting tool, force required to overcome the developed stresses during chip formation process can be resolved into three components: Cutting force (F S), Feed force (F V) and Radial force (F P).
machine. Process parameters such as punch frequency, needle penetration depth and punch times were selected for consid-eration, and the other parameters were consistent. Parameters of seven needle punched samples are detailed in Table 2. The images of needle punched nonwovens were obtained using scanning electron microscopy (SEM, TM-1000). Tensile