3D Information Management Enabling Manufacture Engineering

Author(s):  
Salam Ali ◽  
Alexandre Durupt ◽  
Pierre Antoine Adragna ◽  
Nadège Troussier

Industrial companies are confronted to reverse engineering on mechanical components. They have to define a new process planning from 3D information (points cloud, drawings, etc.). The component has to be re-engineered in order to improve and optimize new manufacturing processes. According to surveys, reverse engineering approaches begin to be supported by Knowledge Base engineering Systems (KBS). These systems are efficient to quickly obtain CAD models based on functional features. These models are successful for redesigning activities and then for defining a process planning. Industrial companies often need to re-engineered components in order to define directly a new process planning. In this case CAD models, based on functional features, are not useful. This paper suggests an approach called Reverse Engineering For Manufacturing (REFM) which allows to directly obtain a CAPP (Computer Aided Process Planning) model from 3D information. The system management is based on Design For Manufacturing (DFM) approach and enables to manage manufacturing information (such as the number of fixtures, the kind of milling operations, etc.). In addition, this system management allows to define process planning alternatives. The aim of the paper is to show the concept of REFM approach according to a use case.

Author(s):  
M. K. Muju ◽  
Kripa Shanker ◽  
P. K. Aherrao

Abstract This paper presents some details of design and implementation of a computerized process planning system for parts requiring milling operations. The interactive system uses generative approach of process planning. The system is capable of handling end milling, face milling and peripheral milling. The geometric programming technique is used for determining the optimal machining parameters. Emphasis is laid on the constraining equations used in the optimization model. The power equations are derived from basic metal cutting analysis. The cutter selection is automatic to some extent. The system outputs detailed process plans giving sequence of operations, optimal machining parameters, cost per piece and production rate.


2014 ◽  
Vol 598 ◽  
pp. 591-594 ◽  
Author(s):  
Li Yan Zhang

ISO 14649, known as STEP-NC, is new model of data transfer between CAD/CAM systems and CNC machines. In this paper, the modeling based on machining feature is proposed. The machining feature comes from the manufacturing process considering the restriction of machining technology and machining resource. Then the framework for computer aided process planning is presented, where the algorithms of operation planning is studied. The practical example has been provided and results indicate that machining feature based model can integrate with CAPP and STEP-NC seamlessly.


Author(s):  
H. James de St. Germain ◽  
David E. Johnson ◽  
Elaine Cohen

Reverse engineering (RE) is the process of defining and instantiating a model based on the measurements taken from an exemplar object. Traditional RE is costly, requiring extensive time from a domain expert using calipers and/or coordinate measurement machines to create new design drawings/CAD models. Increasingly RE is becoming more automated via the use of mechanized sensing devices and general purpose surface fitting software. This work demonstrates the ability to reverse-engineer parts by combining feature-based techniques with freeform surface fitting to produce more accurate and appropriate CAD models than previously possible.


Author(s):  
Mark Snider ◽  
Sudhakar Teegavarapu ◽  
D. Scott Hesser ◽  
Joshua D. Summers

Reverse engineering has gained importance over the past few years due to an intense competitive market aiding in the survivability of a company. This paper examines the reverse engineering process and what, how, and why it can assist in making a better design. Two well known reverse engineering methodologies are explored, the first by Otto and Wood and the second by Ingle. Each methodology is compared and contrasted according to the protocols and tools used. Among some of the reverse engineering tools detailed and illustrated are: Black box, Fishbone, Function Structure, Bill of Material, Exploded CAD models, Morphological Matrix, Subtract and Operate Procedure (SOP), House of Quality matrix, and FMEA. Even though both methodologies have highly valued tools, some of the areas in reverse engineering need additional robust tooling. This paper presents new and expanded tooling to augment the existing methods in hopes of furthering the understanding of the product, and process. Tools like Reverse Failure Mode and Effects Analysis (RFMEA), Connectivity graphs, and inter-relation matrix increase the design efficiency, quality, and the understanding of the reverse engineering process. These tools have been employed in two industry projects and one demonstrative purpose for a Design for Manufacture Class. In both of these scenarios, industry and academic, the users found that the augmented tools were useful in capturing and revealing information not previously realized.


Author(s):  
Y. F. Zhang ◽  
A. Y. C. Nee ◽  
J. Y. H. Fuh

Abstract One of the most difficult tasks in automated process planning is the determination of operation sequencing. This paper describes a hybrid approach for identifying the optimal operation sequence of machining prismatic parts on a three-axis milling machining centre. In the proposed methodology, the operation sequencing is carried out in two levels of planning: set-up planning and operation planning. Various constraints on the precedence relationships between features are identified and rules and heuristics are created. Based on the precedence relationships between features, an optimization method is developed to find the optimal plan(s) with minimum number of set-ups in which the conflict between the feature precedence relationships and set-up sequence is avoided. For each set-up, an optimal feature machining sequence with minimum number of tool changes is also determined using a developed algorithm. The proposed system is still under development and the hybrid approach is partially implemented. An example is provided to demonstrate this approach.


Author(s):  
Ghazanfar Ali Shah ◽  
Jean-Philippe Pernot ◽  
Arnaud Polette ◽  
Franca Giannini ◽  
Marina Monti

Abstract This paper introduces a novel reverse engineering technique for the reconstruction of editable CAD models of mechanical parts' assemblies. The input is a point cloud of a mechanical parts' assembly that has been acquired as a whole, i.e. without disassembling it prior to its digitization. The proposed framework allows for the reconstruction of the parametric CAD assembly model through a multi-step reconstruction and fitting approach. It is modular and it supports various exploitation scenarios depending on the available data and starting point. It also handles incomplete datasets. The reconstruction process starts from roughly sketched and parameterized geometries (i.e 2D sketches, 3D parts or assemblies) that are then used as input of a simulated annealing-based fitting algorithm, which minimizes the deviation between the point cloud and the reconstructed geometries. The coherence of the CAD models is maintained by a CAD modeler that performs the updates and satisfies the geometric constraints as the fitting process goes on. The optimization process leverages a two-level filtering technique able to capture and manage the boundaries of the geometries inside the overall point cloud in order to allow for local fitting and interfaces detection. It is a user-driven approach where the user decides what are the most suitable steps and sequence to operate. It has been tested and validated on both real scanned point clouds and as-scanned virtually generated point clouds incorporating several artifacts that would appear with real acquisition devices.


Sign in / Sign up

Export Citation Format

Share Document