scholarly journals A fully parametric toolbox for the simulation of single point incremental sheet forming process: Numerical feasibility and experimental validation

2012 ◽  
Vol 29 ◽  
pp. 32-43 ◽  
Author(s):  
S. Thibaud ◽  
R. Ben Hmida ◽  
F. Richard ◽  
P. Malécot
Keyword(s):  
Experimental Validation ◽  
Single Point ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Forming Process

Brass 70/30 and Incremental Sheet Forming Process

2013 ◽  
Vol 554-557 ◽  
pp. 1419-1431 ◽  
Author(s):  
Daniel Fritzen ◽  
Anderson Daleffe ◽  
Jovani Castelan ◽  
Lirio Schaeffer
Keyword(s):  
Incremental Forming ◽  
Single Point ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Cnc Machining ◽  
Forming Process ◽  
Wall Angle ◽  
Machining Center ◽  
Cad Cam ◽  
Cnc Machining Center

This work addresses through bibliographies and experiments the behavior of sheet brass 70/30 for Incremental Sheet Forming process - ISF, based on the parameters: wall angle (), step vertical (ΔZ) strategy and the way the tool. Experiments based on the method called Single Point Incremental Forming - SPIF. For execution of practical tests, we used the resources: software CAD / CAM, CNC machining center with three axles, matrix incremental, incremental forming tool and a device press sheets. Furthermore, measurement was made of the true deformation () and thickness (s1). Practical tests have shown that the spiral machining strategy yielded a greater wall angle, compared to the conventional strategy outline.

scholarly journals Iterative learning control of single point incremental sheet forming process using digital image correlation

2019 ◽  
Vol 34 ◽  
pp. 940-949 ◽  
Author(s):  
Joseph D. Fischer ◽  
Mitchell R. Woodside ◽  
Mercedes M. Gonzalez ◽  
Nathan A. Lutes ◽  
Douglas A. Bristow ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Iterative Learning Control ◽  
Single Point ◽  
Learning Control ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Iterative Learning ◽  
Image Correlation ◽  
Forming Process

scholarly journals Accuracy and Sheet Thinning Improvement of Deep Titanium Alloy Part with Warm Incremental Sheet-Forming Process

2021 ◽  
Vol 5 (4) ◽  
pp. 122
Author(s):  
Badreddine Saidi ◽  
Laurence Giraud Moreau ◽  
Abel Cherouat ◽  
Rachid Nasri
Keyword(s):  
Titanium Alloy ◽  
Titanium Alloys ◽  
Thickness Distribution ◽  
Single Point ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Fe Model ◽  
Forming Process ◽  
Shape Accuracy ◽  
Truncated Cone

Incremental forming is a recent forming process that allows a sheet to be locally deformed with a hemispherical tool in order to gradually shape it. Despite good lubrication between the sheet and the tip of the smooth hemisphere tool, ductility often occurs, limiting the formability of titanium alloys due to the geometrical inaccuracy of the parts and the inability to form parts with a large depth and wall angle. Several technical solutions are proposed in the literature to increase the working temperature, allowing improvement in the titanium alloys’ formability and reducing the sheet thinning, plastic instability, and failure localization. An experimental procedure and numerical simulation were performed in this study to improve the warm single-point incremental sheet forming of a deep truncated cone in Ti-6Al-4V titanium alloy based on the use of heating cartridges. The effect of the depth part (two experiments with a truncated cone having a depth of 40 and 60 mm) at hot temperature (440 °C) on the thickness distribution and sheet shape accuracy are performed. Results show that the formability is significantly improved with the heating to produce a deep part. Small errors are observed between experimental and theoretical profiles. Moreover, errors between experimental and numerical displacements are less than 6%, which shows that the Finite Element (FE) model gives accurate predictions for titanium alloy deep truncated cones.

scholarly journals Design and manufacturing of a fixing device for incremental sheet forming process

2018 ◽  
Vol 178 ◽  
pp. 02004 ◽  
Author(s):  
Daniel Nasulea ◽  
Gheorghe Oancea
Keyword(s):  
Sheet Metal ◽  
Deep Drawing ◽  
Incremental Forming ◽  
Single Point ◽  
Fem Simulation ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Single Point Incremental Forming ◽  
Forming Process ◽  
Design And Manufacturing

In incremental sheet forming processes, the expensive dedicated tool are avoided and replaced with a cheap and simple fixing device which support the sheet metal blanks. The current paper presents how a fixing device used for single point incremental forming device is designed, FEM simulated and manufactured. The fixing device can be used for parts with a cone frustum and pyramidal frustum made of DC05 deep drawing steel. The forces developed in the process and the device displacements were estimated using FEM simulation. The device components were manufactured using a CNC machines and the physical assembly is also presented in the paper.

Investigation of tool wear in single point incremental sheet forming

2019 ◽  
Vol 234 (1-2) ◽  
pp. 170-188 ◽  
Author(s):  
Pablo Josue da Silva ◽  
Alberto J Alvares
Keyword(s):  
Tool Wear ◽  
Single Point ◽  
Dimensional Accuracy ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Numerical Control ◽  
Galvanized Steel ◽  
Forming Process ◽  
Control Machine Tool ◽  
Dimensional Errors

This article presents a proposal for a new method to evaluate tool wear incremental sheet forming process. Incremental sheet forming is an innovative forming process with a high interest in fields of the industry due to its low preparation cost and high flexibility, allowing the production of small batches at a reduced cost. Among the various types of incremental sheet forming processes, the single point incremental sheet forming is the most cost-effective, and unfortunately, the single point incremental sheet forming process has high dimensional errors. In order to understand the process and its dimensional errors better, this article shows the study of tool wear and the quality of surface finish with the generated data can correlate with the tool life. The study is carried out by means of a sequence of experimental tests of galvanized steel sheet conformation by altering the stamping parameters (vertical step in, feed and rotation) and capturing the values of the surface roughness of the parts, the forming tool wear and processing time. After the completion of the tests, the classical formulation of the Taylor equation was utilized to obtain a mathematical model capable of estimating the lifetime of the single point incremental sheet forming tool associated with a tool wear value and the desired dimensional accuracy in relation to the processing parameters for the part or tool pair analyzed in a computer numerical control machine tool. The results of the study present an original model of prediction of tool wear in relation to the input parameters for the single point incremental sheet forming process; the overall error rate is 33.44% for the wear model of prediction and 35.94% for the lifetime model of prediction.

Optimization in single point incremental forming of Inconel 718 through response surface methodology

2020 ◽  
Vol 44 (1) ◽  
pp. 148-160
Author(s):  
S. Pratheesh Kumar ◽  
S. Elangovan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Inconel 718 ◽  
Single Point ◽  
Optimization Technique ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Forming Process ◽  
Profile Accuracy

Incremental sheet forming is a flexible and versatile process with a promising future in the batch production and prototyping sectors. With decreased design time and negligible production time, incremental sheet forming provides reliability, flexibility, and quality, while being an economical option in contrast to the traditional forming process. In this paper, Inconel 718, a material that has extensive use in aircraft engines, is considered for experimental work to obtain the optimum combination of process parameters. Response surface methodology is used to optimize the process parameters, in particular feed rate, step depth, and lubricant viscosity. The output responses are surface roughness, profile accuracy, and wall thickness. Analysis of variance (ANOVA) is performed using the experimental results to predict the statistical influence of the process parameters. The optimal combination of process parameters is further predicted using a numerical optimization technique to achieve better profile accuracy and surface finish. The results obtained are experimentally validated and are in good agreement with the predicted values.

Multiobjective optimization of process variables in single-point incremental forming using grey relational analysis coupled with entropy weights

2021 ◽  
pp. 146442072110204
Author(s):  
Abdulmajeed Dabwan ◽  
Adham E Ragab ◽  
Mohamed A Saleh ◽  
Atef M Ghaleb ◽  
Mohamed Z Ramadan ◽  
...  
Keyword(s):  
Grey Relational Analysis ◽  
Incremental Forming ◽  
Single Point ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Numerical Control ◽  
Single Point Incremental Forming ◽  
Process Variables ◽  
Relational Analysis ◽  
Grey Relational

Incremental sheet forming is a specific group of sheet forming methods that enable the manufacture of complex parts utilizing computer numerical control instead of specialized tools. It is an incredibly adaptable operation that involves minimal usage of sophisticated tools, dies, and forming presses. Besides its main application in the field of rapid prototyping, incremental sheet forming processes can be used for the manufacture of unique parts in small batches. The goal of this study is to broaden the knowledge of the deformation process in single-point incremental forming. This work studies the deformation behavior in single-point incremental forming by experimentally investigating the principal stresses, principal strains, and thinning of single-point incremental forming products. Conical-shaped components are fabricated using AA1050-H14 aluminum alloy at various combinations of fundamental variables. The factorial design is employed to plan the experimental study and analysis of variance is conducted to analyze the results. The grey relational analysis approach coupled with entropy weights is also implemented to identify optimum process variables for single-point incremental forming. The results show that the tool diameter has the greatest effect on the thinning of the SPIF product, followed by the sheet thickness, step size, and feed rate.

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