Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology

In the proposed work, a fiber-optic-based sensor network was employed for the monitoring of the liquid resin infusion process. The item under test was a panel composed by a skin and four stringers, sensorized in such a way that both the temperature and the resin arrival could be monitored. The network was arranged with 18 Fiber Bragg Gratings (FBGs) working as temperature sensors and 22 fiber optic probes with a modified front-end in order to detect the resin presence. After an in-depth study to find a better solution to install the sensors without affecting the measurements, the system was investigated using a commercial Micron Optics at 0.5 Hz, with a passive split-box connected in order to be able to sense all the sensors simultaneously. The obtained results in terms of resin arrival detection at different locations and the relative temperature trend allowed us to validate an infusion process numerical model, giving us better understanding of what the actual resin flow was and the time needed to dry preform filling during the infusion process.

Leveraging Self-Directed Learning in the Skills-Based Economy

The planning, processing, facilitation, delivery, and evaluation of learning in formal and informal education environments through learner self-direction has become an imperative competency for personal and professional success. The proliferation of virtual learning and working is one variable driving the accelerated focus on self-directed learning (SDL); however, there are many additional economic, social, policy, and structural reasons why SDL is vital in the nascent skills-based economy. To address this need, a digital micro-credential was designed to intentionally and transparently provide all learners, not just those with educational pedigree, social standing, and financial prosperity, with the necessary skills and tools for operationalizing SDL in their lives. The described context, content, development process, validation, and iteration of the proposed SDL digital micro-credential couples a theoretical foundation of SDL with a practical application that has the promise to scale the adoption and promotion of SDL more broadly.

STUDIES IN PROSPECTIVE PROCESS VALIDATION OF ALLOPURINOL USP AS ACTIVE PHARMACEUTICAL INGREDIENT

Allopurinol USP batches of same size, method, equipment and validation criterion were taken. The critical process parameter involved were reaction, drying, milling, sifting, milling, and blending stages were validation. Quality cannot be assured by daily quality control testing because of the limitations of statistical samples, and the limited facilities of finished product testing. Validation checks the accuracy and reliability of process. Aim of this work was to study prospective process validation of allopurinol USP designed to meet the current regulatory requirements and prove with assurance that the product meets the predetermined specifications and quality attributes. The critical process parameter was identified with the help of process capability and evaluated by challenging its in house and compendial specification. Three initial process validations batches APL/008, APL/009 and APL/010 were identified and evaluated as per validation master plan. The outcome indicated that this process validation data provides high degree of assurance so that manufacturing process produces a quality product.