Regression Approach to a Novel Lateral Flatness Leveling System for Smart Manufacturing

Abstract

Sheet metal coils are widely used in the steel, automotive, and electronics industries. Many of these coils are processed through metal stamping or laser cutting to form different types of shapes. Sheet metal coil leveling is an essential procedure before any metal forming process. In practice, this leveling procedure is now executed by operators and primarily relies on their experience, resulting in many trials and errors before settling on the correct machine parameters. In smart manufacturing, it is required to digitize the machine’s parameters to achieve such a leveling process. Although smart manufacturing has been adopted in the manufacturing industry in recent years, it has not been implemented in steel leveling. In this paper, a novel leveling method for flatness leveling is proposed and validated with data collected by flatness sensors for measuring each roll adjustment position, which is later processed through the multi-regression method. The regression results and experienced machine operator results are compared. From this research, not only can the experience of the machine operators be digitized, but the results also indicate the feasibility of the proposed method to offer more efficient and accurate machine settings for metal leveling operations.

Adaptive Quality Diagnosis Framework for Production Lines in a Smart Manufacturing Environment

“…The activity of Orion consists of three phases, as depicted in Figure 1. First, it performs ordinary least squares (OLS) regression [34] on the regressands and stores the results. Linear regression is referred as OLS since it emphasizes the minimization of the squared deviations from the regression line.…”

Effect of Roller Levelling on Tensile Properties of Aluminum Sheets

“…Selecting a sample from the tensile test results, the parameters σ 0 and D of the linear hardening material models can be determined, as well as the additional quantities needed to calculate the average stress using Equation (19). According to the information received from the manufacturer, the maximum deflection during roller levelling for the tested sheets was s = 2.16 mm.…”

“…However, to apply this approach, a significant database size is required. In another paper, the authors of the aforementioned publication used a multivariate linear regression model to characterize the process of roller levelling [19], which also produced favorable results.…”