scholarly journals Research on Modeling of Cutting Parts Based on Solidworks

2022 ◽  
Vol 2160 (1) ◽  
pp. 012070
Author(s):  
Guiyun Huang ◽  
Yong Li ◽  
Jian Cui

Abstract The article elaborates the significance of the cutting feature in different ways, the shape structure and modeling approach of cutting feature are analyzed through examples. The modeling method is summarized: 1) According to the projection relation, the wire frame is separated. According to the projection of view, the positional relation of each plane is analysed, the corresponding plane of the wireframe is determined the shape of the cut is clarified. This is the key to deciding whether the modeling can be completed successfully. 2) By imagining the shape, the position and order are determined. By line-plane analysis and dimensioning, the cutting position and order of the surface are determined, and the shape and structure after cutting are clarified. This is an important basis for rapid modelling. 3)Thinking overall. Repeatedly compare the shape with the views, and comprehensively check to ensure that the feature position of the shape is clear, the shape is accurate, and the structure is complete.

Author(s):  
S. Gupta ◽  
A. Shirkhodaie ◽  
A. H. Soni

Abstract This paper presents an algorithm to generate surface models of 3D objects from their wire-frame models. The algorithm firstly, obtains information about edges of the object from the wire-frame model of the object and uses this edge information to generate the pairs. A pair of an object is a combination of two non-collinear edges which have a common vertex. The algorithm then determines the unique plane passing through each pair and groups the coplanar pairs together. Then it sorts each of the groups of coplanar pairs to form one or more loops of edges. Finally for each group of coplanar pairs, all the loops are combined, using a few rules, to form faces of the object. Hence a surface model of the object is generated.


Author(s):  
Keisuke Takemoto ◽  
Masato Mori ◽  
Toru Watanabe ◽  
Kazuto Seto

This paper shows a lumped modeling approach and a motion and vibration control method for a transportation system. The modeling approach is made on the premise that motion influences vibration, but that vibration doesn’t influence motion. To obtain well suppressed vibration and a robustness for the system, LQI control is adopted. It is shown that this theory has superior robustness for in motion and vibration control with variations of the parameters [1]. The control effectiveness is demonstrated through simulation experiments. The vibration modes that occur accordingly become flexible might cause a spillover instability problem. Thus, the purpose of the research is to control such vibration and motion using the modeling method presented by Seto, called the “reduced order physical modeling method” [2]. Computer simulation and control experiments are carried out and the effectiveness of the procedures presented is investigated.


Neurosurgery ◽  
2010 ◽  
Vol 67 (3) ◽  
pp. 818-823 ◽  
Author(s):  
Anand V. Germanwala ◽  
Quoc-Anh Thai ◽  
Gustavo Pradilla ◽  
Rafael J. Tamargo

Abstract BACKGROUND Precise surgical localization of small arteriovenous malformations (AVMs), arteriovenous fistulae (AVFs), and aneurysms located in the distal portions of the intracranial arteries can be difficult OBJECTIVE We describe a simple and accurate intraoperative angiographic localization technique for small AVMs, AVFs, and distal aneurysms. METHODS All patients had routine preoperative diagnostic imaging and evaluations, including catheter angiography. Once anesthetized, the patients were prepared for intraoperative angiography following cannulation of the femoral artery. Craniometric landmarks were utilized to approximately localize the lesion. A wire in the shape of a square was placed over the proposed craniotomy site and an angiogram was performed. With use of real-time angiography, the wire localizer was manipulated until the small vascular lesion was visualized entirely within the wire frame, thus defining the extent of the required craniotomy and the surgical trajectory. RESULTS The wire localizer was used to target small vascular lesions in 9 cases of AVMs, 4 cases of distal middle cerebral artery aneurysms, and 1 case of a diploic AVF. In all 14 cases, the lesion was accurately localized intraoperatively without further image-guided techniques, and there was no change in the craniotomy. There were no intraoperative complications, and all patients had uneventful recoveries. CONCLUSION Intraoperative angiography with a simple wire localizer can effectively and accurately aid in the planning of surgery for a range of small and distal vascular lesions with virtually no added cost, minimal setup time, and limited potential for technical errors.


Author(s):  
Hongqing Wang ◽  
Yong Chen ◽  
David W. Rosen

This paper presents a hybrid geometric modeling method to create CAD models of large-scale conformal cellular structures effectively and efficiently. Cellular material structures can be engineered at the mesoscopic scale for high performance and multi-functional capabilities. One type of cellular structure is conformal lightweight truss. A simple method of constructing models of uniform trusses is to pattern unit cells linearly within a CAD system. However, by orienting strut directions and adjusting strut sizes, such trusses can be optimized to achieve superior strength, stiffness, and weight characteristics. For large truss structures, computational and storage complexities cause difficulties in CAD system modeling. In this paper, a new hybrid geometric modeling approach of directly creating tessellated models is developed to automate the geometric modeling process of conformal truss structures efficiently. This modeling approach is intended to support the design, analysis, optimization, and manufacture of conformal truss structures. Examples are presented and the computational efficiency of the hybrid method is compared with the approach of creating the complete solid model of cellular structures.


1990 ◽  
Vol 23 (9) ◽  
pp. 999-1010 ◽  
Author(s):  
Jayanta Mukherjee ◽  
P.P. Das ◽  
B.N. Chatterji

Geophysics ◽  
2018 ◽  
Vol 83 (5) ◽  
pp. E335-E345 ◽  
Author(s):  
Tim Klose ◽  
Julien Guillemoteau ◽  
François-Xavier Simon ◽  
Jens Tronicke

In near-surface geophysics, small portable loop-loop electromagnetic induction (EMI) sensors using harmonic sources with a constant and rather small frequency are increasingly used to investigate the electrical properties of the subsurface. For such sensors, the influence of electrical conductivity and magnetic permeability on the EMI response is well-understood. Typically, data analysis focuses on reconstructing an electrical conductivity model by inverting the out-of-phase response. However, in a variety of near-surface applications, magnetic permeability (or susceptibility) models derived from the in-phase (IP) response may provide important additional information. In view of developing a fast 3D inversion procedure of the IP response for a dense grid of measurement points, we first analyze the 3D sensitivity functions associated with a homogeneous permeable half-space. Then, we compare synthetic data computed using a linear forward-modeling method based on these sensitivity functions with synthetic data computed using full nonlinear forward-modeling methods. The results indicate the correctness and applicability of our linear forward-modeling approach. Furthermore, we determine the advantages of converting IP data into apparent permeability, which, for example, allows us to extend the applicability of the linear forward-modeling method to high-magnetic environments. Finally, we compute synthetic data with the linear theory for a model consisting of a controlled magnetic target and compare the results with field data collected with a four-configuration loop-loop EMI sensor. With this field-scale experiment, we determine that our linear forward-modeling approach can reproduce measured data with sufficiently small error, and, thus, it represents the basis for developing efficient inversion approaches.


2004 ◽  
Vol 4 (2) ◽  
pp. 140-149 ◽  
Author(s):  
Zolta´n Rusa´k

To be able to model industrial products in conceptual design, aspects such as function, structure, shape, behavior, sustainability and service are typically considered. Tools developed until now usually focus on individual aspects. The author proposes a new modeling approach called vague discrete interval modeling (VDIM) that integrates shape, structure and behavior modeling. The integration is achieved by the introduction of a multipurpose modeling entity called particle. VDIM offers three means for the representation of a cluster of shapes, for instances of shapes and for physically-based manipulation of shapes. Interval modeling allows representing uncertainty of shapes, which is a characteristic property in shape conceptualization. In addition, particle systems can be applied to model the mechanical behavior of the product. This constructive modeling approach makes it possible to describe the procedural model of incomplete geometries and to capture the structural relations between components. The paper reports on the computational issues related to VDIM.


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