Conceptual and Functional Design of a Robotics Chamfering Tool for Wooden Beams

2017 ◽  
Author(s):  
Giovanni Gerardo Muscolo ◽  
Darwin Caldwell ◽  
Ferdinando Cannella
Keyword(s):  
Manufacturing Process ◽  
Technical Problem ◽  
Design For Manufacturing ◽  
Functional Design ◽  
Patented Invention ◽  
Technical Specifications ◽  
Original Motion ◽  
Creativity And Innovation

The paper presents the conceptual and functional design of a novel machine used to create chamfers on wooden beams and called RCT. The authors show, in this paper, the technical problem and the technical specifications used to design a machine to solve the problem. The novelty of the patented invention is based on its originality and usefulness. All claims of the invention are underlined by the novelty and innovation. In this paper, the steps performed to design the proposed machine are discussed in details. The chamfering process is performed using disc saws and the machine is moved on the wooden beam using rubber wheels. This machine uses four disk saws to create chamfers on wooden beams. The particularity of this machine is the possibility to use two or four disk saws for chamfering two or four edges. The market’s needs allow us to design a novel machine with original motion and manufacturing process giving a big impact to creativity and innovation in design for manufacturing.

Modeling and Representation of Manufacturing Knowledge for DFM Systems

2004 ◽  
Author(s):  
Zuozhi Zhao ◽  
Jami Shah
Keyword(s):  
Process Planning ◽  
Cost Estimation ◽  
Manufacturing Process ◽  
Feature Recognition ◽  
Design For Manufacturing ◽  
Time Cost ◽  
Computational Framework ◽  
Different Types ◽  
Manufacturing Knowledge ◽  
Manufacturing Time

The manufacturing knowledge today spans a vast spectrum, from manufacturing process capability/constraint, precedence, algorithms/heuristics of performing feature recognition, process planning and manufacturing time/cost estimation, to Design for Manufacturing (DfM) tactics and strategies. In this paper, different types of manufacturing knowledge have been identified and the ways to represent and apply them are described. An information model is developed as the backbone to integrate other existing tools into the framework. A computational framework is presented to help the manufacturing knowledge engineers formulize their knowledge and store it into the computer, and help the designers systematically analyze the manufacturability of the design.

A Function-Based Approach to Design for Manufacturing

2000 ◽  
Author(s):  
Manish Verma ◽  
William H. Wood
Keyword(s):  
Manufacturing Process ◽  
Design Space ◽  
Design For Manufacturing ◽  
The Internet ◽  
Functional Requirements ◽  
Organizational Constraints ◽  
Time Space ◽  
Design And Manufacturing ◽  
Potential Impact

Abstract Internet-enabled design and manufacturing requires more than just replacing physical walls with virtual ones in the old ‘over the wall’ design/manufacturing process. By emphasizing the functional requirements of a design, we propose to delay commitment to a manufacturing process, providing a larger design space for the designer and more flexibility to the manufacturer. A function-based approach is being developed which not only utilizes the increased understanding of both design and manufacturing but also exploits the benefits of the Internet to free the team of designers of time, space and organizational constraints. A design/manufacturing interface based on function is proposed and a scenario provided to demonstrate its potential impact.

A Hybrid Neural Network for Prediction of Surface Roughness in Machining

2014 ◽  
Vol 633-634 ◽  
pp. 579-582
Author(s):  
Manik Rajora ◽  
Alexander H. Shih ◽  
Pan Zou ◽  
Bei Zhi Li ◽  
Steven Y. Liang
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Manufacturing Process ◽  
Manufacturing System ◽  
The Other ◽  
Machining Process ◽  
Machining Parameters ◽  
Hybrid Neural Network ◽  
Technical Specifications ◽  
Process Prediction

Surface roughness is an important outcome in the machining process and it plays a major role in the manufacturing system. Prediction of surface roughness has been a challenge to researchers because it is impacted by different machining parameters and the inherent uncertainties in the machining process. Prediction of surface roughness will benefit the manufacturing process to be more productive and competitive at the same time to reduce any pre-processing of the machined workpiece in order to meet the technical specifications. In this study, a hybrid GA-LM ANN is proposed for the prediction of surface roughness during roughing process in turning operation. To verify the performance of the proposed approach, the results are compared with the results obtained by training an ANN using GA or LM. The results have shown that the hybrid ANN outperformed the other two algorithms.

Identifying groups of airborne particles by ordination

1994 ◽  
Vol 52 ◽  
pp. 856-857
Author(s):  
M. Shlepr ◽  
C. M. Vicroy
Keyword(s):  
Elemental Analysis ◽  
Energy Dispersive Spectroscopy ◽  
Manufacturing Process ◽  
Spatial Representation ◽  
Airborne Particles ◽  
Common Source ◽  
Data Set ◽  
Microelectronics Industry ◽  
Induced Changes ◽  
Source Materials

The microelectronics industry is heavily tasked with minimizing contaminates at all steps of the manufacturing process. Particles are generated by physical and/or chemical fragmentation from a mothersource. The tools and macrovolumes of chemicals used for processing, the environment surrounding the process, and the circuits themselves are all potential particle sources. A first step in eliminating these contaminants is to identify their source. Elemental analysis of the particles often proves useful toward this goal, and energy dispersive spectroscopy (EDS) is a commonly used technique. However, the large variety of source materials and process induced changes in the particles often make it difficult to discern if the particles are from a common source.Ordination is commonly used in ecology to understand community relationships. This technique usespair-wise measures of similarity. Separation of the data set is based on discrimination functions. Theend product is a spatial representation of the data with the distance between points equaling the degree of dissimilarity.

Attachment of oral bacteria to titanium surfaces: An SEM study

1994 ◽  
Vol 52 ◽  
pp. 468-469
Author(s):  
J. E. Laffoon ◽  
R. L. Anderson ◽  
J. C. Keller ◽  
C. D. Wu-Yuan
Keyword(s):  
Technical Problem ◽  
Titanium Implant ◽  
Oral Bacteria ◽  
Bacterial Cells ◽  
Thin Sections ◽  
Surface Ultrastructure ◽  
Sem Study ◽  
Key Factor ◽  
Titanium Surfaces

Titanium (Ti) dental implants have been used widely for many years. Long term implant failures are related, in part, to the development of peri-implantitis frequently associated with bacteria. Bacterial adherence and colonization have been considered a key factor in the pathogenesis of many biomaterial based infections. Without the initial attachment of oral bacteria to Ti-implant surfaces, subsequent polymicrobial accumulation and colonization leading to peri-implant disease cannot occur. The overall goal of this study is to examine the implant-oral bacterial interfaces and gain a greater understanding of their attachment characteristics and mechanisms. Since the detailed cell surface ultrastructure involved in attachment is only discernible at the electron microscopy level, the study is complicated by the technical problem of obtaining titanium implant and attached bacterial cells in the same ultra-thin sections. In this study, a technique was developed to facilitate the study of Ti implant-bacteria interface.Discs of polymerized Spurr’s resin (12 mm x 5 mm) were formed to a thickness of approximately 3 mm using an EM block holder (Fig. 1). Titanium was then deposited by vacuum deposition to a film thickness of 300Å (Fig. 2).

Water in the Vinegar Manufacturing Process

1952 ◽  
Vol 44 (3) ◽  
pp. 449-449
Author(s):  
Rudolph Allgeier ◽  
Reuben Wisthoff ◽  
Frank Hildebrandt
Keyword(s):  
Manufacturing Process

Autoantibodies to Thrombomodulin: Development of an Enzyme Immunoassay and a Survey of their Frequency in Patients with the Lupus Anticoagulant

1992 ◽  
Vol 67 (05) ◽  
pp. 507-509 ◽  
Author(s):  
John Gibson ◽  
Margaret Nelson ◽  
Ross Brown ◽  
Hatem Salem ◽  
Harry Kronenberg
Keyword(s):  
Enzyme Immunoassay ◽  
Lupus Anticoagulant ◽  
Specific Binding ◽  
Technical Problem ◽  
Serum Samples ◽  
Citrate Buffer ◽  
The Mean ◽  
Sample Dilution ◽  
Negative Population ◽  
Serum Components

SummaryIn order to investigate the possibility that autoantibodies to thrombomodulin (TM) may exist in patients with the lupus anticoagulant (LA) and perhaps be implicated in the pathogenesis of recurrent thrombosis seen in such patients, we developed an enzyme-immunoassay to screen serum samples for anti-human TM activity. The major technical problem encountered in developing this assay was to reduce the non-specific binding of serum components from both the LA positive and the negative population. Considerable reduction of non-specific binding was achieved by use of a phosphate/citrate buffer at pH 8.0 and the use of an optimal sample dilution of 1/40. In addition, samples were always tested in parallel in blank wells and results are expressed as an OD ratio. Samples from 113 patients with the LA were assayed and compared to 78 patients referred for LA testing but found to be negative. The mean OD values for the LA positive patients (± SD) was 1.36 (0.44) with a range of 0.78-2.57. This was virtually identical to the values for the LA negative population (1.38 ± 0.40, range 0.76-2.77). The results of this study indicate that there is no evidence for the presence of a significant autoantibody activity to TM in patients with the LA when compared to LA negative patients. If such autoantibodies do exist their frequency must be quite low.

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