Application of a hybrid optimization technique in a multiple sheet single point incremental forming process

Raju, C.; Narayanan, C. Sathiya

doi:10.1016/j.measurement.2015.10.025

Cited by 46 publications

(10 citation statements)

References 22 publications

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“…The two polynomial models (2) and (3) of second degree considered for the forming force and minimal thickness are the following [10]: Fmax = a0 + a1dp + a2 'z + a3 dp 2 + a4 dp 'z + a5 'z 2 (2) STH = b0 + b1dp + b2 'z + b3 dp 2 + b4 dp 'z + b5 'z 2 (3) Table 4 presents the values of the coefficients, which allow to predict the forming force and the thinning rate according to the two input parameters. These numerical results have been obtained with ANOVA.…”

Section: Optimization Resultsmentioning

confidence: 99%

Optimization of the single point incremental forming process for titanium sheets by using response surface

2016

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Abstract. The single point incremental forming process is well-known to be perfectly suited for prototyping and small series. One of its fields of applicability is the medicine area for the forming of titanium prostheses or titanium medical implants. However this process is not yet very industrialized, mainly due its geometrical inaccuracy, its not homogeneous thickness distribution... Moreover considerable forces can occur. They must be controlled in order to preserve the tooling. In this paper, a numerical approach is proposed in order to minimize the maximum force achieved during the incremental forming of titanium sheets and to maximize the minimal thickness. A surface response methodology is used to find the optimal values of two input parameters of the process, the punch diameter and the vertical step size of the tool path.

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Section: Optimization Resultsmentioning

confidence: 99%

Optimization of the single point incremental forming process for titanium sheets by using response surface

2016

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“…The multiple outputs obtained from the combination of input parameters were converted into single objective by using GRA method. The following steps are to be followed in GRA 6,14 to obtain the optimal value of the various inputs used,…”

Section: Optimization Analysismentioning

confidence: 99%

“…They used GRA to predict the optimum value. Raju and Narayanan 6,7 examined a multiple sheet metal forming process using taguchi based DOE method to predict the optimum level of parameters which will improve the output responses in forming process. The authors proved that multiple sheets reduce the time taken to complete the forming process and the characteristics analysis was also made on the sheet metal towards the formability of sheet metal.…”

Section: Introductionmentioning

confidence: 99%

Comparison of incremental sheet metal forming process using newly designed multipoint tool with the existing single point tool by optimization and characterization methods on austenite stainless steel 202

Ramkumar

Krishnan

Chinnayan

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Incremental Sheet metal Forming (ISF) is a reliable process of converting a blank to work piece with better outputs compared to conventional forming process. The flexibility of ISF in producing the rapid prototype based on the customer needs is increased which is also desirable in the industry. But Single Point Incremental Forming (SPIF) process takes more time to form a product and hence the longer time is a barrier in implementing this process in industries. In this research work, the ISF process was made on sheet metal SS 202 using a newly designed multi-point tool and the obtained outputs were compared with the same material of sheet metal formed by traditionally available single point tool. This Multi Point Incremental Forming (MPIF) process takes lesser process time to give better formability, improved wall angle and good surface roughness. The input process parameters selected for the process are type of tool, speed, feed, Vertical Step Depth (VSD), and lubrication. They are arranged by using the taguchi Design of Experiments (DOE) approach. The responses considered are wall angle, formability, surface roughness, spring back and forming time. The multiple outputs obtained were optimized by Grey Relational Analysis (GRA) to predict the superior parameter. Confirmation test was also made to validate the output result. Fractography analysis was carried out to predict the fracture mechanism obtained during the forming process. The surface topography was also made on the surface of the formed area of the sheet metal. This research work concludes that newly designed MPIF outperforms SPIF.

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“…An analysis of variance with ANOVA was conducted in order to analyze the effects of the four input parameters on the forming force. This technique has already been adopted by several author in order to compare the impact of various factors on response values and to define the significant factors [10,11]. Figure 6 gives a representation of the standardized Pareto chart.…”

Section: Experimental Design Optimizationmentioning

confidence: 99%

Experimental and numerical study on optimization of the single point incremental forming of AINSI 304L stainless steel sheet

Saidi

Giraud-Moreau

Cherouat

et al. 2017

J. Phys.: Conf. Ser.

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Abstract. AINSI 304L stainless steel sheets are commonly formed into a variety of shapes for applications in the industrial, architectural, transportation and automobile fields, it's also used for manufacturing of denture base. In the field of dentistry, there is a need for personalized devises that are custom made for the patient. The single point incremental forming process is highly promising in this area for manufacturing of denture base.The single point incremental forming process (ISF) is an emerging process based on the use of a spherical tool, which is moved along CNC controlled tool path. One of the major advantages of this process is the ability to program several punch trajectories on the same machine in order to obtain different shapes. Several applications of this process exist in the medical field for the manufacturing of personalized titanium prosthesis (cranial plate, knee prosthesis…) due to the need of product customization to each patient.The objective of this paper is to study the incremental forming of AISI 304L stainless steel sheets for future applications in the dentistry field. During the incremental forming process, considerable forces can occur. The control of the forming force is particularly important to ensure the safe use of the CNC milling machine and preserve the tooling and machinery.In this paper, the effect of four different process parameters on the maximum force is studied. The proposed approach consists in using an experimental design based on experimental results. An analysis of variance was conducted with ANOVA to find the input parameters allowing to minimize the maximum forming force. A numerical simulation of the incremental forming process is performed with the optimal input process parameters. Numerical results are compared with the experimental ones.

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Application of a hybrid optimization technique in a multiple sheet single point incremental forming process

Cited by 46 publications

References 22 publications

Optimization of the single point incremental forming process for titanium sheets by using response surface

Optimization of the single point incremental forming process for titanium sheets by using response surface

Comparison of incremental sheet metal forming process using newly designed multipoint tool with the existing single point tool by optimization and characterization methods on austenite stainless steel 202

Experimental and numerical study on optimization of the single point incremental forming of AINSI 304L stainless steel sheet

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