Intelligent Blender Load Sensing for Consistent Blend Outcomes

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Solution Overview

Problem

Conventional blenders and food processors lack the ability to adapt to the contents within the blending jar, leading to inconsistent processing outcomes such as over-processing smaller loads and cavitation issues with thicker loads, regardless of the load placed inside.

Innovation Solution

An intelligent blender that senses load and resistance using current and speed sensors to detect the contents, adjusting blending parameters to achieve a predetermined consistency, including variable programs for different food types and cavitation recovery mechanisms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If conventional blenders execute the same fixed program regardless of contents, then the device complexity is low and ease of operation is high, but the manufacturing precision of blend consistency deteriorates

Engineering Contradiction:

Improveblend consistencyVSAvoiddevice complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The blender incorporates sensors that detect load characteristics and provide feedback to the controller, which then adjusts blending parameters in real-time to maintain consistent blend quality across different ingredient types and quantities

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The blending program dynamically adjusts speed, torque, and duration based on detected load characteristics, transforming the static fixed-program approach into a dynamic adaptive system that optimizes performance for each specific blending task

Inventive Principle:

Principle #15Dynamics

2Reliability

If conventional blenders use fixed timing programs, then the productivity is high and processing time is short, but the reliability of processing outcome deteriorates

Engineering Contradiction:

Improveprocessing outcomeVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The blender autonomously detects load characteristics and self-adjusts blending parameters without user intervention, automatically determining the optimal processing time and conditions for each specific ingredient combination

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Real-time monitoring of blending conditions provides feedback to the controller, which adjusts processing duration and intensity to ensure reliable outcomes while minimizing unnecessary processing time

Inventive Principle:

Principle #23Feedback

3Manufacturing precision

If conventional blenders process smaller loads with the same program, then the device complexity remains low, but the manufacturing precision of blend consistency deteriorates due to over-processing

Engineering Contradiction:

Improveblend consistencyVSAvoidprogram complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The blending program is customized based on detected load characteristics, applying locally optimized parameters for each specific ingredient type and quantity rather than a universal fixed program, ensuring consistent results across all load sizes

Inventive Principle:

Principle #3Local quality

4Reliability

If conventional blenders process thicker loads with the same program, then the ease of operation is maintained, but the reliability of processing outcome deteriorates due to cavitation

Engineering Contradiction:

Improveprocessing outcomeVSAvoidease of operation

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system detects cavitation conditions through sensor feedback and automatically adjusts blending parameters such as speed and torque to eliminate cavitation and ensure reliable processing of thick loads

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The controller anticipates cavitation issues with thick loads by pre-adjusting blending parameters before the problem occurs, preventing cavitation rather than merely responding to it after detection

Inventive Principle:

Principle #9Preliminary anti-action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Ensures consistent blending outcomes by adapting to varying ingredient quantities and types, preventing cavitation, and producing desired product consistencies.

Implementation Method 1

senses speed and resistance (current) so as to detect the load inside the blending jar

Methodology Applied

Scientific EffectElectrical Resistance: Electrical Resistance

Implementation Method 2

senses speed and resistance (current) so as to detect the load inside the blending jar

Methodology Applied

Scientific EffectSpeed sensing:

Implementation Method 3

The present blender can also sense a zero load, high speed situation that defines blending cavitation

Methodology Applied

Scientific EffectCavitation: Cavitation

Data Source

PatentUS20250311888A1Intelligent blender

Publication Date: 2025.10.09 SUNBEAN PROD INC

AI summary

A blender or food processor having electronics associated therewith including at least one controller, at least one current sensor and at least one speed sensor, the controller controls the operation of the blender motor based upon the contents being blended inside the blender jar and compares measured current and speed values and measured changes in the current and speed values to predetermined values stored in memory in order to (1) determine the load size placed in the blender jar, (2) determine if cavitation exists in the blender jar, and (3) determine the final consistency associated with the output of the product placed within the blender jar as selected by the user.