Enhancement of dimensional accuracy of dieless tube-drawing process with vision-based fuzzy control

2013 ◽  
Vol 213 (6) ◽  
pp. 905-912 ◽  
Author(s):  
S. Supriadi ◽  
K. Manabe
Keyword(s):  
Fuzzy Control ◽  
Dimensional Accuracy ◽  
Drawing Process ◽  
Tube Drawing

Experimental and numerical analyses of residual stresses induced by tube drawing

2018 ◽  
Vol 53 (5) ◽  
pp. 364-375
Author(s):  
Florian Vollert ◽  
Marco Lüchinger ◽  
Simone Schuster ◽  
Nicola Simon ◽  
Jens Gibmeier ◽  
...  
Keyword(s):  
Residual Stress ◽  
Residual Stresses ◽  
Fuel Efficiency ◽  
Carbon Dioxide Emission ◽  
Medium Carbon Steel ◽  
Hole Drilling ◽  
Manufacturing Processes ◽  
Drawing Process ◽  
Tube Drawing ◽  
Hole Drilling Method

Lightweight constructions are used to fulfil the ever-increasing demands regarding fuel efficiency and carbon dioxide emission in transportation industries. In order to reduce weight, technical components made of solid materials are often replaced by tubular structures. Under service conditions, the components are frequently exposed to cyclic loads. Hence, residual stresses that are induced by manufacturing processes can have a significant impact on service life. In this work, the focus is on tube manufacturing processes, precisely cold tube sinking and fixed plug drawing. Both processes induce characteristic residual stress states, which are important to assess the mechanical integrity and load-carrying capacity of tubular components during service. The aim of this article is to examine the residual stress depth distribution for medium-carbon steel tubes manufactured by cold tube sinking and fixed plug drawing. The residual stresses are measured by means of the Sachs method and the hole-drilling method, respectively. The measured results are compared to finite element simulations of the tube drawing process. It is shown that the residual stress obtained with the different experimental methods and the numerical simulations are consistent. Furthermore, it is shown that the residual stresses can be significantly reduced when a plug is used in the drawing process.

scholarly journals Tube Drawing Process with Diameter Expansion for Effectively Reducing Thickness

Metals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1642
Author(s):  
Shohei Kajikawa ◽  
Hikaru Kawaguchi ◽  
Takashi Kuboki ◽  
Isamu Akasaka ◽  
Yuzo Terashita ◽  
...  
Keyword(s):  
Axial Load ◽  
Fem Analysis ◽  
Axial Direction ◽  
Drawing Process ◽  
Maximum Expansion ◽  
Tube Drawing ◽  
Thin Walled Tube ◽  
Forming Characteristics ◽  
Thin Walled ◽  
Drawing Method

The present paper describes a tube drawing method with diameter expansion, which is herein referred to as “expansion drawing”, for effectively producing thin-walled tube. In the proposed method, the tube end is flared by pushing a plug into the tube, and the tube is then expanded by drawing the plug in the axial direction while the flared end is chucked. The forming characteristics and effectiveness of the proposed method were investigated through a series of finite element method (FEM) analyses and experiments. As a result of FEM analysis, the expansion drawing effectively reduced the tube thickness with a smaller axial load when compared with the conventional method. According to the experimental results, the thin-walled tube was produced successfully by the expansion drawing. Maximum thickness reduction ratios for a carbon steel (STKM13C) and an aluminum alloy (AA1070) were 0.15 and 0.29 when the maximum expansion ratios were 0.23 and 0.31, respectively. The above results suggest that the proposed expansion drawing method is effective for producing thin-walled tubes.

Monitoring Quality of Components by Fuzzy Control Principle

1998 ◽  
Vol 05 (02) ◽  
pp. 133-145
Author(s):  
Henry Lau
Keyword(s):  
Expert System ◽  
Fuzzy Control ◽  
Fuzzy Inference ◽  
Dimensional Accuracy ◽  
Boolean Logic ◽  
Fuzzy Expert System ◽  
Fuzzy Variables ◽  
Plastic Parts ◽  
Control Principle

A fuzzy expert system uses fuzzy logic control,1 which is based on a "superset" of Boolean logic that has been extended to handle the concept of "partial truth." It replaces mathematical models with models that are built from a number of rules with fuzzy variables such as output temperature, and fuzzy terms such as extremely hot, fairly cold. A fuzzy expert system has been implemented in a plastic moulding shop in Australia for monitoring dimensional quality of output products. Because these plastic parts are used as assembly components for production of gear boxes, their dimensional accuracy is of utmost importance. This paper presents the implementation of this monitoring system adopting a graphical and non-mathematical approach, and examines the application of fuzzy control systems in quality control. Practical examples with descriptions of how the fuzzy rules are shown and the operations of the fuzzy inference engine are covered.

scholarly journals Experimental Investigation of Dimensional Precision of Deep Drawn Cups Using Direct Polymer Additive Tooling

2020 ◽  
Vol 5 (1) ◽  
pp. 3
Author(s):  
Georg Bergweiler ◽  
Falko Fiedler ◽  
Ahsan Shaukat ◽  
Bernd Löffler
Keyword(s):  
Deep Drawing ◽  
Dimensional Accuracy ◽  
Measuring System ◽  
Drawing Process ◽  
Polymer Additive ◽  
Dimensional Precision ◽  
Conventional Steel ◽  
Small Series ◽  
Cost Efficient ◽  
Better Than

While deep drawing of sheet metals is economical at high volumes, it can be very costly for manufacturing prototypes, mainly due to high tooling costs. Additively manufactured polymer tools have the potential to be more cost-efficient for small series, but they are softer and thus less resilient than conventional steel tools. This work aimed to study the dimensional precision of such tools using a standard cup geometry. Tools were printed with FFF using two different materials, PLA and CF-PA. A test series of 20 parts was drawn from each tool. Afterwards, the dimensional precisions of the drawn parts were analyzed using an optical measuring system. The achieved dimensional accuracy of the first drawn cup using the PLA toolset was 1.98 mm, which was further improved to 1.04 mm by altering shrinkage and springback allowances. The repeatability of the deep drawing process for the CF-reinforced PA tool was 0.17 mm during 20 drawing operations and better than that of the PLA tool (1.17 mm). To conclude, deep drawing of standard cups is doable using direct polymer additive tooling with a dimensional accuracy of 1.04 mm, which can be further improved by refining allowances incorporated to the CAD model being printed.

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