Generalization Capability of Mixture Estimation Model for Peristaltic Continuous Mixing Conveyor

Abstract

We propose herein a method for estimating the mixing state of the contents of a peristaltic continuous mixing conveyor simulating the intestine, developed for mixing and conveying powders and liquids. This study serves to improve a previously proposed method for estimating the mixing state using a logistic regression model with the pressure and flow rate sensors installed in the device as inputs. Moreover, the estimation accuracy of the proposed method is better than that of the previous method. The generalizability of the proposed method is evaluated for four conditions in which the feeding order of the contents, powder, and liquid are changed. The feeding order is as follows: powder first, liquid first, and powder and liquid alternately. As a result, a highly accurate estimation of mixing is achieved under the condition wherein the powder component is in the unit adjacent to the lid, but not under the condition wherein the liquid component is fed first. It is speculated that this is because the movement of the powder component inside the device is more easily reflected by the pressure and flow rate sensors installed in the device than in the liquid component.

Construction of Motion Mode Switching System by Machine Learning for Peristaltic Mixing Conveyor Based on Intestinal Movement

“…Sensor data from the start of mixing to less than 10 minutes were used for the unmixed data in this experiment's mixing discrimination model. This was selected based on previous studies [13].…”

“…The two issues of estimating the mixing state of the contents [12][13] and automatic switching of the drive pattern according to the state of the contents [14] were verified, respectively. For the estimation of the mixing state, machine learning was used to successfully estimate the mixing state of powder and liquid in the device [12] [13]. In addition, the state of mixing of fuel simulants packed in bags has been successfully estimated [15].…”

Continuous conveying and mixing characteristics of high‐viscosity materials under acoustic vibration excitation

“…To address this issue, Tran‐Minh et al 9 proposed an elliptical planar micro‐mixer that operates passively in a laminar flow state and is suitable for lower viscosity substances. Oshino et al 10 developed a peristaltic continuous mixing device that operates like an intestinal tract using pneumatic artificial muscles made of soft rubber material. Although this device can be used for mixing high‐viscosity substances, related research is still in its early stages.…”