Determination Of Regression Equations Research Articles

Effect of parameters of the stereolithography process on the part quality

This paper investigates the effect of additive manufacturing parameters on the manufacturing quality of selected gear mechanism components. Three input variables, and two output variables were determined. The result was the determination of the most optimal combination of key parameters and the determination of regression equations. The concept of manufacturing objects of a very complex shape, by any person, under various conditions through the use of a low-cost device became the basis for this thesis topic. Curing time, layer thickness, and lift speed are among the basic parameters, with a large range of manipulation. A hypothesis was formulated that these three parameters are crucial to produce a part with the smallest possible deviations from the computer model. A handheld scanner was used to scan the samples and compare them with the CAD model. Based on the study, optimal parameters for layer thickness, curing time and lift speed were proposed.

Simultaneous Determination of Regression Equations for Body Composition, Body Measurements and Metabolic Rate in Rats

Summary56 normal male albino rats, with body weights from 180 to 650 grams were analyzed for total body fat (lipid), protein, non-lipid, and water, and had measurements made of their oxygen consumption, nose-anus length, and chest and abdomen circumferences. All these variables were regressed upon the 4-hour fasted body weight and the appropriate regression equations determined.