FROM OUR NEWS DESK
At Numorpho Cybernetic System, we are building a cybernetic data engineered fabric to manage processes and enable automation. Called the Krebs Cycle for Process Engineering, it is a comprehensive framework integrating the principles of circularity and mechanisms of processes inspired by the Krebs Cycle in biology. The framework focuses on managing upstream, midstream, and downstream activities while enabling the effective transformation of data into actionable intelligence.
This would enable the storage of data, its cataloging into information bits in definite schema types, its conversion to knowledge using metadata and its enablement as intelligence and appropriate use (wisdom). We use the elements of circumstance: Why, Who, What, Where, When and How (5W1H) to theme out the progression using Model Based Systems Engineering based on outcome and actionability.
The Krebs Cycle for Process Engineering framework facilitates the integration and assessment of emerging technologies such as Additive Manufacturing, allowing organizations to leverage multiple production methods. This framework fosters agility, enabling rapid identification, pivoting and adoption of the most suitable solution while incorporating feedback and lessons learned for continuous improvement and optimization.
Here is a podcast defining the Krebs Cycle for Process Engineering.
Key artifacts and elements within this framework include:
- Circularity Principles: Adhering to a circular approach, the framework ensures efficient resource utilization, waste reduction, and the extension of product lifecycles. This incorporates concepts such as designing for disassembly, using recycled materials, and implementing take-back programs.
- Krebs Cycle-inspired Processes: Drawing inspiration from the Krebs cycle, the framework facilitates continuous and interconnected processes that optimize energy and material flow, leading to seamless operations and enhanced overall system efficiency.
- Data Storage: The framework ensures secure and efficient data storage, enabling the collection and organization of valuable information from various sources within the system.
- Information Bits Cataloging: It categorizes the stored data into specific schema types, promoting better data management and facilitating data retrieval for further processing.
- Conversion to Knowledge: Metadata is utilized to convert the cataloged information into meaningful knowledge, enabling a deeper understanding of the system’s operations and performance.
- Actionable Intelligence: The processed knowledge is converted into actionable intelligence, providing insights for decision-making and facilitating optimization of various aspects of the system.
- Wisdom Enablement: The framework promotes the appropriate application of the derived intelligence, fostering a culture of continuous learning and improvement within the organization.
- Model-Based Systems Engineering: Employing 5W1H (Why, Who, What, When, and How) thematic progression, the framework facilitates a systematic and holistic approach to process engineering and system optimization.
- Upstream, Midstream, and Downstream Activities Management: The framework ensures effective coordination and optimization of various stages within the system, from material sourcing to final product delivery and post-sales support.
By addressing these key artifacts, the Krebs Cycle for Process Engineering framework enables organizations to build a robust cybernetic system that promotes circularity, optimizes processes, and drives overall system efficiency.
WHAT DOE IT MEAN FOR US? DFAM vs DWAM
At Numorpho, we understand that while Additive Manufacturing (AM) is still in its nascent stages, we are committed to pushing the boundaries and maximizing its potential. Our philosophy of “Born, not Built” sets us apart and enables us to create groundbreaking products and solutions. By employing Design for Additive Manufacturing (DFAM), one can optimize designs specifically tailored to AM’s unique capabilities. But speed, cost and scale continue to be top issues in the utilization of AM techniques for full scale production especially in aerospace and defense. Also, since the part is created layer by layer unlike traditional manufacturing (by assembly or dissection), it is difficult to attain the right tolerance level stipulated due to warpages, sintering and other post processing that is needed.
In recognizing the need for a maturity model, we would like to propose DWAM (Design With Additive Manufacturing), were we utilize AM where applicable and move to traditional manufacturing when speed, scalability and cost effectiveness are still issues with AM today. Here is where our Krebs Cycle for Process Engineering plays a part in solutioning our progression and using continuous improvement feedback loops to appropriately pivot.
We are confident that as AM technologies continue to evolve, Numorpho will be at the forefront of innovation. Our focus on DWAM and DFAM and our commitment to pushing the limits of AM will drive us to develop ever more advanced and sustainable products, solutions, and systems. We recognize the challenges that come with working in an emerging field, but we believe that the rewards are well worth the effort.
As AM becomes increasingly capable and prevalent, Numorpho will remain dedicated to staying ahead of the curve and delivering the most innovative solutions possible.
NITIN UCHIL Founder, CEO & Technical Evangelist
nitin.uchil@numorpho.com
NOTES
Since the part is born not built by dissection it is difficult to attain the right tolerance level stipulated for the part. DFAM vs DWAM