An Industrial Robot and a Laser Scanner as a Flexible Solution Towards an Automatic System for Reverse Engineering of Unknown Objects

Volume 2 ◽  
2004 ◽  
Author(s):  
So¨ren Larsson ◽  
J. A. P. Kjellander

Reverse Engineering (RE) is concerned with the problem of creating CAD-models of real objects by measuring point data from their surfaces. Current solutions either require manual interaction or expect the nature of the objects to be known. In order to create a fully automatic system for Reverse Engineering of unknown objects the software that creates the CAD-model must be able to control the operation of the measuring system. This paper presents a real implementation of a measuring system suited for that purpose. The experimental setup is based on an industrial robot with a laser scanner mounted at the tool-mounting flange. The key component of the system is a programable CAD-system. The CAD system is used to simulate and control the movement of the robot, as well as collecting the data acquired from both the laser scanner and from the robot’s positional system.

Author(s):  
Francesco Buonamici ◽  
Monica Carfagni

Reverse Engineering (RE), also known as “CAD reconstruction”, aims at the reconstruction of 3D geometric models of objects/mechanical parts, starting from 3D measured data (points/mesh). In recent years, considerable developments in RE were achieved thanks to both academic and industrial research (e.g. RE software packages). The aim of this work is to provide an overview of state of the art techniques and approaches presented in recent years (considering at the same time tools and methods provided by commercial CAD software and RE systems). In particular, this article focuses on the “constrained fitting” approach, which considers geometrical constraints between the generated surfaces, improving the reconstruction result. On the basis of the overview, possible theoretical principles are drafted with the aim of suggest new strategies to make the CAD reconstruction process more effective in order to obtain more ready/usable CAD models. Finally, a new RE framework is briefly outlined: the proposed approach hypothesizes a tool built within the environment of an existing CAD system and considers the fitting of a custom-built archetypal model, defined with all the a-priori known dimensions and constraints, to the scanned data.


2012 ◽  
Vol 215-216 ◽  
pp. 639-642 ◽  
Author(s):  
Lan Kang ◽  
Ya Li ◽  
Zheng Ming Chen

Reverse engineering is an important tool to generate CAD models. This paper describes an integrated approach for modeling parts from point cloud to surfaces or solids based on features and constraints. The approach allows designers to integrate reverse engineering and feature-based CAD system in the reconstruction of parts. This approach has two advantages over current practice and the reconstructed models produced by this method are feature-based and constraints satisfaction, which provides a higher level description of part geometry rather than the tedious low-level editing of geometric descriptions as in reverse engineering. This method also facilitates modification and innovative design to the reconstructed parts, which would be extremely difficult or impossible to accomplish if current reverse engineering method is applied. In addition, it is a more convenient and practical way for designers. To illustrate the validation of this integrated modeling approach, a more complicated example is illustrated based on the approach.


2010 ◽  
Vol 102-104 ◽  
pp. 436-440 ◽  
Author(s):  
Chang He Li ◽  
Zan Fang ◽  
Yi Cui ◽  
Y.C. Ding

Additive processes can be defined as layered manufacturing, based on the dispersed/accumulated principle, Layered manufacturing is directly transforming 3D CAD models to real objects, the reverse engineering of mechanism can be applied to layered manufacturing for production complex geometries for long-term consistency, and the analysis demonstrates the application of the reverse engineering fulfills the segments of design, production, inspection, test. The most notable advantage is the combination of digital technology and geometric model rebuilding technology.


Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 116
Author(s):  
Julian Deuerling ◽  
Shaun Keck ◽  
Inasya Moelyadi ◽  
Jens-Uwe Repke ◽  
Matthias Rädle

This work presents a novel method for the non-invasive, in-line monitoring of mixing processes in microchannels using the Raman photometric technique. The measuring set-up distinguishes itself from other works in this field by utilizing recent state-of-the-art customized photon multiplier (CPM) detectors, bypassing the use of a spectrometer. This addresses the limiting factor of integration times by achieving measuring rates of 10 ms. The method was validated using the ternary system of toluene–water–acetone. The optical measuring system consists of two functional units: the coaxial Raman probe optimized for excitation at a laser wavelength of 532 nm and the photometric detector centered around the CPMs. The spot size of the focused laser is a defining factor of the spatial resolution of the set-up. The depth of focus is measured at approx. 85 µm with a spot size of approx. 45 µm, while still maintaining a relatively high numerical aperture of 0.42, the latter of which is also critical for coaxial detection of inelastically scattered photons. The working distance in this set-up is 20 mm. The microchannel is a T-junction mixer with a square cross section of 500 by 500 µm, a hydraulic diameter of 500 µm and 70 mm channel length. The extraction of acetone from toluene into water is tracked at an initial concentration of 25% as a function of flow rate and accordingly residence time. The investigated flow rates ranged from 0.1 mL/min to 0.006 mL/min. The residence times from the T-junction to the measuring point varies from 1.5 to 25 s. At 0.006 mL/min a constant acetone concentration of approx. 12.6% was measured, indicating that the mixing process reached the equilibrium of the system at approx. 12.5%. For prototype benchmarking, comparative measurements were carried out with a commercially available Raman spectrometer (RXN1, Kaiser Optical Systems, Ann Arbor, MI, USA). Count rates of the spectrophotometer surpassed those of the spectrometer by at least one order of magnitude at identical target concentrations and optical power output. The experimental data demonstrate the suitability and potential of the new measuring system to detect locally and time-resolved concentration profiles in moving fluids while avoiding external influence.


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):  
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.


2018 ◽  
Vol 166 ◽  
pp. 01003
Author(s):  
Shuaishuai Lv ◽  
Yangyang Zhu ◽  
Hai Gu ◽  
Hongjun Ni ◽  
Yue Meng ◽  
...  

The structure of Microbial Fuel Cell (MFC) reactor was analyzed and improved by Reverse Engineering (RE) and Rapid Prototyping (RP) technology. Points cloud data of MFC reactor was accessed by hand-held laser scanner. The space surface and entity model were reconstructed accurately, and the structure of the reactor was optimized based on Imageware and Solidworks software. The reactor model was manufactured by RP machine. The optimization efficiency of MFC reactor was improved based on the combination of RE and RP, which has a good reference value for the development of MFC technology and products.


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