Published Technical Disclosure Archive

AI-Powered Molded Component Manufacturing Innovation

Publication ID: 24-11857025_0003_PTD
Published: October 27, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Powered Molded Component Manufacturing Innovation,” Published Technical Disclosure No. 24-11857025_0003_PTD, Published October 27, 2025, available at https://archive.pr1or.art/24-11857025_0003_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,025.

Background and Problem Solved

The original patent disclosed a system and method for forming molded components with inserts. However, this invention had limitations in terms of material selection, quality control, and customization. The new invention addresses these limitations by incorporating AI-powered material selection, IoT-enabled insert tracking, blockchain-based quality control, and decentralized design optimization, enabling the creation of customized molded components with improved properties.

Novelty and Inventive Step

The new claims introduce a novel synergistic combination of AI, IoT, blockchain, and new materials, which is not obvious from the original patent. The integration of these technologies enables a more powerful system for forming molded components with inserts, providing improved durability, performance, and quality control.

Alternative Embodiments and Variations

Alternative embodiments of the invention may include varying the type of materials used, modifying the design of the insert, or incorporating additional sensors for real-time monitoring. Variations may also include integrating other technologies such as robotics or machine learning to further enhance the molding process.

Potential Commercial Applications and Market

The invention has significant commercial potential in the sports equipment, automotive, and aerospace industries, where customized molded components with improved properties are highly valued. The invention's ability to enhance durability, performance, and quality control makes it an attractive solution for companies seeking to improve their manufacturing processes and product offerings.

CPC Classifications

SectionClassGroup
A A43 A43B13/04
B B29 B29D35/0018
B B29 B29D35/122
B B29 B29D35/14
B B29 B29D35/142

Field of Art

Manufacturing and fabrication technologies, specifically molded component production with insert technologies, focusing on materials science, injection molding techniques, and advanced manufacturing processes

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in materials engineering, injection molding techniques, manufacturing process design, and familiarity with emerging technologies in advanced manufacturing and process optimization

Obviousness Rationale

A PHOSITA would recognize that integrating IoT, AI, and blockchain technologies into existing molding processes represents a predictable extension of known manufacturing optimization techniques. The fundamental molding method disclosed in the source patent provides a clear technical foundation for incorporating advanced monitoring and quality control technologies. These technological integrations represent standard engineering approaches to improving manufacturing precision and data management.

Obvious Combinations & Variations

Source Patent Element
Method of forming a molded article with an insert using a plug and receptacle
PTD Variation
Adding IoT-enabled sensor tracking and blockchain-based quality control to the molding process
Obviousness Reasoning
Integrating sensor technologies and digital tracking represents a known technique for process optimization in manufacturing, with predictable results of improved quality control and process monitoring
Source Patent Element
Elastomer-based plug material for insert molding
PTD Variation
AI-powered material selection and optimization algorithms for determining optimal material properties
Obviousness Reasoning
Material science and computational design tools are well-established methods for systematically exploring and selecting optimal material characteristics, representing a standard engineering approach to materials development
Source Patent Element
Insert with engagement features for molding process
PTD Variation
Digital twin creation with 3D modeling and AI-powered performance simulation
Obviousness Reasoning
Creating computational models and simulations of manufacturing processes is a standard engineering practice for predicting and optimizing component performance
Source Patent Element
Molding method involving heat and pressure application
PTD Variation
Blockchain-based decentralized platform for secure manufacturing data storage and exchange
Obviousness Reasoning
Implementing distributed digital record-keeping represents a predictable technological evolution in manufacturing data management
Source Patent Element
Insert with bushing and flange structure
PTD Variation
IoT-connected sensors embedded within insert to monitor in-situ component properties
Obviousness Reasoning
Integrating real-time monitoring sensors into manufacturing components is a known technique for enhancing process understanding and quality control
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857025 and the disclosed technological variations, a Person Having Ordinary Skill In The Art would find the integration of IoT, AI, blockchain, and advanced sensor technologies into molding processes to be an obvious and predictable extension of existing manufacturing methodologies, thereby rendering potential claims to such technologies obvious and unpatentable.

Original Patent Information

Patent NumberUS 11,857,025
TitleSystem and method for forming a molded component with an insert
Assignee(s)NIKE, Inc.