Slicing Machine Gripper with Integrated Parameter Detection
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Solution Overview
Problem
Existing slicing machines in the food industry face challenges in ensuring consistently high quality slices of products like sausage or cheese due to manual monitoring of product parameters, which is not sufficient, and the complexity of implementing automatic sensors that can detect and adjust settings based on these parameters.
Innovation Solution
A slicing machine equipped with a gripper-mounted product parameter detection apparatus that communicates with a product parameter analysis apparatus to monitor and adjust settings based on detected parameters such as temperature, consistency, and vibrations, ensuring comprehensive quality assurance without the need for separate measuring apparatuses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring of product parameters is used, then the slicing machine is simple to operate, but the quality consistency of slices cannot be ensured
Solution Approach 1:
The slicing machine performs self-monitoring of product parameters through integrated sensors that automatically detect temperature, consistency, and vibration without operator intervention. The system serves itself by continuously measuring and reporting product parameters, eliminating the need for manual monitoring while ensuring quality consistency.
Solution Approach 2:
The system implements feedback loops where sensor data about product parameters is continuously fed back to the control unit. This feedback mechanism allows the slicing machine to automatically adjust operating parameters based on real-time product conditions, ensuring consistent quality without manual intervention.
2Extent of automation
If a large number of sensors are installed on the slicing machine, then product parameters can be monitored automatically, but the susceptibility to malfunctions increases
Solution Approach 1:
The vibration sensor serves multiple functions: it monitors product consistency through vibration analysis during cutting, detects knife sharpness by analyzing cutting resistance vibrations, and can identify mechanical issues in the slicing mechanism. This multi-functionality reduces the total number of sensors needed while maintaining comprehensive monitoring capability and improving system reliability.
Solution Approach 2:
The control unit acts as an intelligent intermediary that processes data from sensors and implements decision-making logic. It evaluates sensor signals, determines whether adjustments are needed, and controls actuating elements accordingly. This intermediary layer reduces the complexity of direct sensor-to-actuator connections and improves system reliability through centralized intelligent control.
3Manufacturing precision
If product parameters are monitored and adjustments are made, then slice quality is improved, but the device complexity increases
Solution Approach 1:
The vibration sensor simultaneously monitors product consistency, knife sharpness, and mechanical condition of the slicing machine. The control unit processes this single sensor's data to make multiple adjustments including cutting speed, knife position, and maintenance scheduling. This multi-functional approach achieves high manufacturing precision without proportionally increasing device complexity.
Solution Approach 2:
The system replaces complex mechanical quality control mechanisms with sensor-based detection and electronic control. Instead of using multiple mechanical gauges and manual adjustment mechanisms, the patent uses electronic sensors and a control unit to achieve the same quality control functions, thereby reducing overall device complexity while maintaining or improving precision.
4Reliability
If the gripper is used to hold the product calibre, then the product is securely positioned, but additional components are required for quality assurance
Solution Approach 1:
The detection apparatus is merged with the gripper assembly, combining the product positioning function and quality parameter detection function into a single integrated component. The sensor is mounted on the gripper so that it moves with the gripper and maintains fixed position relative to the product during handling and cutting, eliminating the need for separate detection systems and reducing overall device complexity.
Solution Approach 2:
The product parameters are detected at the moment of gripping, before the product enters the slicing process. This preliminary detection allows the control unit to prepare appropriate cutting parameters in advance, ensuring optimal slice quality from the start of the cutting process. The detection happens proactively rather than reactively, improving efficiency without adding complexity.
Data Source
AI summary
A slicing machine for slicing a product calibre into slices and producing shingled or stacked portions from the slices includes a slicing unit, a feeding unit for feeding at least one calibre to the slicing unit along a feeding direction, a discharge unit for discharging the slices or the portions in a direction of travel of the machine, and a gripper movable along the feeding direction. The gripper includes a product parameter detection apparatus configured to detect at least one product parameter of the calibre of product held by the gripper. The product parameter detection apparatus is configured to communicate with a product parameter analysis apparatus configured to store product parameters detected by the product parameter detection apparatus and/or to process them into a processing result.