Geometry and Leakage Aspects of Involute Rotors for the Roots Blower

1968 ◽  
Vol 183 (1) ◽  
pp. 707-724 ◽  
Author(s):  
J. B. Ritchie ◽  
J. Patterson

For maximum operating efficiency of Roots type blowers, the leakage of compressed air through clearance must be reduced to a minimum. At the same time it is desirable to keep the design as compact as possible. The following analysis endeavours to show, for involute rotors, the effect of the geometrical design variables, pressure angle, rotor tip radius, and base circle radius, on leakage and compactness. Firstly limits of permissible values of the geometrical design variables, to allow correct mating between rotors, are established. Within these limits, relative blower compactness and carry-over of compressed air back to the inlet tract is obtained for the ideal blower with no clearance between relative rotating parts. The analysis and results are expressed in dimensionless form independent of blower size, and results are compared with cycloid rotors. Leakage through blower clearances, in terms of the geometrical design variables, is then determined for a range of pressure ratios, and the dependence on blower size is examined. It is concluded that optimum design values cannot be obtained. A compromise solution between minimum total leakage and maximum compactness is necessary, depending on the operating requirements for a particular Roots blower.

2012 ◽  
Vol 9 (5) ◽  
pp. 6781-6828 ◽  
Author(s):  
S. Vandenberghe ◽  
M. J. van den Berg ◽  
B. Gräler ◽  
A. Petroselli ◽  
S. Grimaldi ◽  
...  

Abstract. Most of the hydrological and hydraulic studies refer to the notion of a return period to quantify design variables. When dealing with multiple design variables, the well-known univariate statistical analysis is no longer satisfactory and several issues challenge the practitioner. How should one incorporate the dependence between variables? How should the joint return period be defined and applied? In this study, an overview of the state-of-the-art for defining joint return periods is given. The construction of multivariate distribution functions is done through the use of copulas, given their practicality in multivariate frequency analysis and their ability to model numerous types of dependence structures in a flexible way. A case study focusing on the selection of design hydrograph characteristics is presented and the design values of a three-dimensional phenomenon composed of peak discharge, volume and duration are derived. Joint return period methods based on regression analysis, bivariate conditional distributions, bivariate joint distributions, and Kendal distribution functions are investigated and compared highlighting theoretical and practical issues of multivariate frequency analysis. Also an ensemble-based method is introduced. For a given design return period, the method chosen clearly affects the calculated design event. Eventually, light is shed on the practical implications of a chosen method.


2020 ◽  
Vol 10 (14) ◽  
pp. 4993
Author(s):  
Igor Korobiichuk ◽  
Viktorij Mel’nick ◽  
Volodimir Karachun

The carried-out analysis of the dynamics of a submarine body’s translational motion affected by an acoustic shock in the ideal medium provides for the possibility to evaluate the physical properties of the medium and elastic properties of the external body of the submarine to the value of limited motion of a submersible vehicle. The results of analysis provide for the possibility to conduct a comparative analysis of the submersible vehicle’s translational motion affected by an acoustic shock, taking into account the peculiarities of the motion medium, or rather taking into account the viscosity of the real medium. In this work, evaluative measurements of the features of moving the layout of the submarine were carried out. The limiting values of the displacement of the layout of the submarine are established for the case of the presence of an external artificial diffuse disturbance. A fluid with air bubbles from a compressed air cylinder was used to create an artificial diffuse perturbation. Such conditions are possible with intensive local bombardment or the presence of other high-speed underwater vehicles involved in local underwater operations.


2017 ◽  
Vol 742 ◽  
pp. 723-731 ◽  
Author(s):  
Christian Oblinger ◽  
André Baeten ◽  
Klaus Drechsler

Fiber reinforced polymers (FRP) are used in a widespread range, for example in aerospace, mobility or wind energy applications due to their excellent quality profile. Moreover, rotating machine elements, which are applied in dynamic processes, require a primarily high stiffness combined with an elastic behavior. Novel FRP components or modern hybrid structures lead to a lower energy consumption of the entire mechanical system. In this respect, a shaft coupling between two shafts depicts an exemplary machine element for a possible application of FRP. This paper deals with the numerical analysis on the structural behavior of a non-engaging bellows coupling made of prepreg-based carbon fiber reinforced polymers (CFRP) for propulsion technology. The presented concept is based on the methodological construction approach for the fulfillment of the compensation and connection functionality. A very high torsional stiffness as well as a certain bending flexibility of the whole coupling geometry is required due to the connection of two torsion-loaded structures. Specific geometrical design variables could be identified with the finite elements method (FEM) and the design of experiments (DoE), which have a significant influence on the structure mechanical behavior of the CFRP bellows coupling. Based on a variable identification scheme according to Shainin, the influence of various geometrical design factors on the structural performance of the CFRP bellows coupling was evaluated.


2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Syed Saad Farooq ◽  
◽  
Aamer Ahmed Baqai ◽  
Muhammad Faizan Shah ◽  
◽  
...  

The parallel manipulators are skilled for their precision manufacturing but need optimized design to get maximum dexterity that will lead towards better industrial production rates. The 3-DOF tricept is chosen to utilize its maximum capabilities for its functionality. Three performance parameters conditioning index, workspace volume, and global conditioning index are used to obtain optimum design variables of tricept mechanism. With a view to compare them in terms of processing effort, particle swarm optimization (PSO) is applied here. Finally, multiobjective optimization with two strategies weighted and epsilon constraint is performed to control the different parameters simultaneously and also to give validation of previously obtained GA based optimum design values of tricept mechanism.


1991 ◽  
Vol 113 (3) ◽  
pp. 318-324 ◽  
Author(s):  
S. Sundaresan ◽  
K. Ishii ◽  
D. R. Houser

This paper deals with the design of spur gears that have minimum transmission error and are insensitive to manufacturing variance. We address two stages of design: (1) generation of candidate designs (selection of number of teeth, pressure angle, etc.), and (2) tooth profile modification. The first stage involves a search of discrete combinations of design variables, while the second stage utilizes numerical optimization techniques. The key research issue is finding a candidate design and its profile modification that not only has low transmission error, but is insensitive to variations in the design values caused by the manufacturing process. To achieve this goal, the procedure applies Taguchi’s concept of parameter design. In this paper, we consider a design problem with a set specification: fixed center distance, speed ratio, and transmission torque. We seek to find a limited number of candidate designs by applying conventional design generation techniques and some design heuristics. For each candidate design, the procedure determines the optimum profile modification (linear tip relief) by linking the Load Distribution Program (LDP) for gears with an optimization program package (OPTPAK). From the resulting peak optimum, we further seek the statistical optimum using an algorithm developed in this paper. The statistical optimum shows a nominal increase in the transmission error, but is quite insensitive to typical process error associated with gear manufacturing. The developed algorithm readily applies to other gear designs as well as other types of machine elements. In particular, we foresee our procedure to be particularly effective for helical gears. We hope to further our method by developing a means to add statistical heuristics to the discrete design generation stage.


1992 ◽  
Vol 36 (2) ◽  
pp. 161-165
Author(s):  
Richard J. Jagacinski ◽  
Neil Greenberg ◽  
Min-Ju Liao ◽  
Jian Wang

Subjects attempted to perform the same manual movement pattern on repeated trials using a visual display of error. Additionally, some subjects heard a tone that was proportional to either the position or velocity of the ideal movement pattern. With the tone, both older and younger adults demonstrated increased anticipation in the form of an increased correlation of their movement pattern with the ideal velocity pattern. However, males exhibited this effect most with the tone that was proportional to ideal velocity, and females, with the tone that was proportional to ideal position. The benefit of the auditory displays did not carry over after they were withdrawn. These results demonstrate one technique for improving perceptual/motor performance. Although older adults exhibited a longer effective time delay, the older and younger adults benefitted from the additional cues to comparable degrees


Author(s):  
Said M. Easa

The intersection sight distance (ISD) design presented by AASHTO is based on extreme values of the component design variables such as design speed, perception–reaction time (a high percentile), and friction coefficient (a low percentile). A reliability method is presented, based on AASHTO, that does not rely on extreme values but instead considers the moments (mean and variance) of the probability distribution of each random variable. The method also accounts for correlations among the component random variables. In Cases I and II of AASHTO, the variations of the sight distance along both legs of the intersection are considered for both design and evaluation. For evaluation (involving an exiting obstruction), these variations are combined into a single variable that determines whether the corresponding sight line is obstructed. In Case III, only the sight distance leg along the major road has variations. The proposed method is straightforward and involves simple, closed-form mathematics for calculating sight distance and associated reliability. Sensitivity of ISD to various design variables is examined. ISD reliability-based values for various cases are presented from data reported in the literature, and results are compared with current AASHTO design values.


2013 ◽  
Vol 361-363 ◽  
pp. 3-6
Author(s):  
Shang Yuan Yao

An integrated research method was used to discuss the issue of construction of low carbon community. It was thought that the community construction scale includes land use scale and dimension size, which not only involves the efficiency of people's daily life, but also the consumption of all kinds of resources like energy in the whole life cycle in the operation of the community. What was put forward is that, for the determination of space scale of the community, we should consider the population agglomeration scale and transportation conditions and also give attention to the operating efficiency and maintenance resources. Conclusion: the community space of medium size is the ideal community scale to achieve low carbon community.


Author(s):  
M K Shin ◽  
B S Kang ◽  
G J Park

Multidisciplinary design optimization based on independent subspaces (MDOIS), which is a multidisciplinary design optimization (MDO) algorithm, has been recently proposed. Since MDOIS is relatively simple compared with other MDO algorithms, it is easy to apply MDOIS to practical engineering problems. In this research, an MDO problem is defined for the design of a belt-integrated seat (BIS) while considering crashworthiness. The crash model consists of an airbag, a BIS, an energy-absorbing steering system, and a safety belt. It is found that the current design problem has two disciplines - structural non-linear analysis and occupant analysis. The interdisciplinary relationship between the disciplines is identified. Interdisciplinary variables between the two disciplines are stiffness of the seat back frame and the belt load. The interdisciplinary relationship is addressed in the system analysis step in MDOIS. Prior to each independent subspace design, values of interdisciplinary variables at a given design point are determined in the system analysis step. The determined values are passed to corresponding subspaces, and the subspaces treat the received values of the interdisciplinary variables as constant parameters throughout the subspace design. For the present example, the belt load is passed to the structural analysis subspace and the stiffness of the seat back frame is passed to the occupant analysis subspace. Determined design variables in each subspace are passed to the system analysis step. In this way, the design process iterates until the convergence criterion is satisfied. As a result of the design, the weight of the BIS and the head injury criterion (HIC) of an occupant are reduced while the specified constraints are satisfied. Since the system analysis cannot be formulated in an explicit form in the current example, an optimization problem is formulated to solve the system analysis. The results from MDOIS are discussed.


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