A Software Application to Assist Machine Tools Configuration

Author(s):  
Miguel A´. Flores ◽  
Vicente Borja ◽  
A´lvaro Ayala ◽  
Marcelo Lo´pez

The selection of manufacturing resources affects the cost, time, and quality of products. Manufacturing resources must be selected to fulfill product design specifications and production requirements. One particular case of determining resources is the configuration of machine tools, as it includes the selection of the required machine tools and the corresponding cutters, fixtures and operation conditions. This paper describes a machine tools configuration process and a software application based on information models to assist it. The process has been devised to concurrently select resources and determine operation conditions, emphasizing the close relationship that exists between them and to guarantee their compatibility. The information models represent product and manufacturing data, and capture suppliers catalogues information. The software applications employ neural networks to select manufacturing process and resources, and genetic algorithms to determine operation conditions to obtain a compromise between cost, time and quality. The utility of the approach is explored through a case study.

1978 ◽  
Vol 100 (3) ◽  
pp. 356-362 ◽  
Author(s):  
S. S. Rao ◽  
S. K. Hati

The problem of determining the optimum machining conditions for a job requiring multiple operations has been investigated. Three objectives, namely, the minimization of the cost of production per piece, the maximization of the production rate and, the maximization of the profit are considered in this work. In addition to the usual constraints that arise from the individual machine tools, some coupling constraints have been included in the formulation. The problems are formulated as standard mathematical programming problems, and nonlinear programming techniques are used to solve the problems.


1971 ◽  
Vol 50 (3) ◽  
pp. 93
Author(s):  
K.C. Bairstow
Keyword(s):  

2020 ◽  
pp. 73-75
Author(s):  
B.M. Bazrov ◽  
T.M. Gaynutdinov

The selection of technological bases is considered before the choice of the type of billet and the development of the route of the technological process. A technique is proposed for selecting the minimum number of sets of technological bases according to the criterion of equality in the cost price of manufacturing the part according to the principle of unity and combination of bases at this stage. Keywords: part, surface, coordinating size, accuracy, design and technological base, labor input, cost price. [email protected]


2020 ◽  
pp. 47-52
Author(s):  
A.A. Mahov ◽  
O.G. Dragina ◽  
P.S. Belov ◽  
S.L. Mahov

The possibility of using linear feed drives along the X and the Y axes in the portal-milling machining center is shown. The calculations of force indicators of drives, feed drives of traverse and carriage for two modes, as well as the selection of Siemens linear motors are given. Keywords milling machining center, drive, feed, linear electric motor. [email protected]


Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 353
Author(s):  
Kun-Cheng Ke ◽  
Ming-Shyan Huang

Conventional methods for assessing the quality of components mass produced using injection molding are expensive and time-consuming or involve imprecise statistical process control parameters. A suitable alternative would be to employ machine learning to classify the quality of parts by using quality indices and quality grading. In this study, we used a multilayer perceptron (MLP) neural network along with a few quality indices to accurately predict the quality of “qualified” and “unqualified” geometric shapes of a finished product. These quality indices, which exhibited a strong correlation with part quality, were extracted from pressure curves and input into the MLP model for learning and prediction. By filtering outliers from the input data and converting the measured quality into quality grades used as output data, we increased the prediction accuracy of the MLP model and classified the quality of finished parts into various quality levels. The MLP model may misjudge datapoints in the “to-be-confirmed” area, which is located between the “qualified” and “unqualified” areas. We classified the “to-be-confirmed” area, and only the quality of products in this area were evaluated further, which reduced the cost of quality control considerably. An integrated circuit tray was manufactured to experimentally demonstrate the feasibility of the proposed method.


2021 ◽  
Vol 13 (10) ◽  
pp. 5599
Author(s):  
Eko Supriyanto ◽  
Jayan Sentanuhady ◽  
Ariyana Dwiputra ◽  
Ari Permana ◽  
Muhammad Akhsin Muflikhun

Biodiesel has caught the attention of many researchers because it has great potential to be a sustainable fossil fuel substitute. Biodiesel has a non-toxic and renewable nature and has been proven to emit less environmentally harmful emissions such as hydrocarbons (HC), and carbon monoxide (CO) as smoke particles during combustion. Problems related to global warming caused by greenhouse gas (GHG) emissions could also be solved by utilizing biodiesel as a daily energy source. However, the expensive cost of biodiesel production, mainly because of the cost of natural feedstock, hinders the potential of biodiesel commercialization. The selection of natural sources of biodiesel should be made with observations from economic, agricultural, and technical perspectives to obtain one feasible biodiesel with superior characteristics. This review paper presents a detailed overview of various natural sources, their physicochemical properties, the performance, emission, and combustion characteristics of biodiesel when used in a diesel engine. The recent progress in studies about natural feedstocks and manufacturing methods used in biodiesel production were evaluated in detail. Finally, the findings of the present work reveal that transesterification is currently the most superior and commonly used biodiesel production method compared to other methods available.


2006 ◽  
Vol 74 (4) ◽  
pp. 777-784 ◽  
Author(s):  
Ronald D. Rogge ◽  
Rebecca J. Cobb ◽  
Lisa B. Story ◽  
Matthew D. Johnson ◽  
Erika E. Lawrence ◽  
...  

2015 ◽  
Vol 725-726 ◽  
pp. 105-110
Author(s):  
Aleksandr Birjukov ◽  
Sergey Bolotin

Surveys performed nationwide show that mobile temporary accommodation camps are being manufactured by more than 200 specialized enterprises (without considering the minor manufacturers) acting under different ministries and agencies. According to the analysis performed, today 26 basic mobile structural systems consisting of 18 conveyor-type and 8 demountable-type systems are being used on a national basis. Today national manufacturers are producing more than 250 types of container-type buildings and facilities which differ in functionality, capacity, climatic category, price and other technical-and-economic indexes. Use of mobile accommodation complexes is characterized by certain advantages. Basic criterion for mobile accommodation camp construction consists in its timely commissioning. Basic predicted indexes affecting the cost of temporary accommodation camp could serve as an endorsement of the forwarded standpoint.


2021 ◽  
Vol 104 (11) ◽  
pp. 1850-1865

Background: Cardiovascular (CV) and renal comorbidities are common among type 2 diabetes (T2D) patients, and significantly increase the cost and burden of care. Both sodium-glucose cotransporter-2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1 RA) improve key outcomes including major CV events, hospitalization for heart failure, and renal outcomes, albeit to varying degrees in different T2D populations. Materials and Methods: The authors reviewed evidence from GLP-1 RA and SGLT2i CV outcomes trials and real-world studies in Thailand and elsewhere. Results: The authors formulated recommendations to guide selection of anti-diabetes medication based on patients’ clinical characteristics and CV or renal risk profile. Conclusion: These recommendations could help guide management of CV/renal comorbidities and risk alongside glucose-lowering therapy for individual patients. Keywords: Type 2 diabetes mellitus; Cardiovascular diseases; Chronic kidney disease; Clinical outcomes; SGLT2i; GLP-1 RA


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