Product Testing Assembly for Quantitative Application Feel Analysis
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Solution Overview
Problem
Conventional application feel evaluations of consumer products are subjective and fail to generate actionable data for product development and improvement, lacking a detailed quantitative understanding of the product's performance characteristics.
Innovation Solution
A product testing assembly that collects real-time physical data during sensorial evaluations, using measuring devices to sense forces, moments, and sounds applied to a substrate, converting these data into output signals representative of application performance characteristics, such as ease of application, ease of spreading, and degree of stickiness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional subjective evaluation methods are used, then the evaluation process is simple and requires minimal equipment, but the data generated is not actionable and lacks quantitative detail for product development
Solution Approach 1:
The testing assembly is divided into separate functional modules: a substrate holder for positioning, a applicator for product application, and a measuring device for data collection. This segmentation allows each component to be optimized independently while working together to provide comprehensive quantitative measurement of application feel characteristics.
Solution Approach 2:
A data processing system acts as an intermediary between the physical testing process and the analysis phase. The system receives raw data from the measuring device, processes it into actionable insights, and presents quantitative results that can guide product development decisions, thereby bridging the gap between simple testing and meaningful analysis.
2Loss of information
If quantitative measurement devices are introduced, then actionable data for product development is generated, but the device complexity and cost increase
Solution Approach 1:
The measuring device is designed to capture multiple types of data simultaneously during the application process, including force, pressure, and temporal information. This multi-functionality allows a single device to provide comprehensive quantitative insights into various application feel characteristics without requiring multiple separate measurement systems.
Solution Approach 2:
The data processing system continuously analyzes real-time measurements and provides feedback on application performance characteristics. This feedback mechanism enables immediate identification of product performance issues and allows for iterative improvement during the development process, maximizing the value extracted from the quantitative data.
3Measurement precision
If real-time physical data collection is implemented, then detailed quantitative understanding of application feel is achieved, but the testing process time and data processing requirements increase
Solution Approach 1:
The measuring device operates continuously throughout the product application process, capturing data at every moment of the application cycle. This continuous data collection ensures that no transient or subtle application feel characteristics are missed, providing a complete quantitative profile of the product performance without requiring multiple separate tests.
Solution Approach 2:
The data processing system is pre-configured with algorithms and processing parameters that are established before the actual testing begins. This preliminary preparation allows for rapid real-time processing of measurement data as it is collected, minimizing post-processing time and enabling immediate insights into product performance characteristics.
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
Provides a detailed quantitative analysis of product application feel, enabling the understanding of subjective assessments and aiding in product performance design by comparing data from products meeting expectations with those of unknown performance characteristics.
Implementation Method 1
measuring devices configured to sense measured quantities of a product being applied to the surface of the substrate by the applicator
Implementation Method 2
measuring devices configured to sense measured quantities of a product being applied to the surface of the substrate by the applicator
Implementation Method 3
measuring devices configured to sense measured quantities of a product being applied to the surface of the substrate by the applicator
Data Source
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AI summary
A product testing assembly is described. The product testing assembly may include a substrate, a measuring device, and a data processing system. The substrate has at least one surface configured to receive an application of a product to be tested, for example paint. The measuring device is configured to sense measured quantities as product is applied to the substrate and output one or more signals representative of a sequence of forces and/or moments being applied to the surface of the substrate by the application of the product to be tested. The data processing system has one or more processors configured to receive the one or more signals representative of the sequence of forces and/or moments being applied to the surface of the substrate, and to convert the one or more signals into an output signal representative of one or more application performance characteristics of the product to be tested.