India offered a biggest source of natural fiber like banana, rice husk, coconut and jute fiber etc. All the natural fiber has its unique advantages as well as mechanical properties which are very useful in the development of potential composites for various applications like transportation, automotive etc. There are various machining process in which drilling is most useful process for the assembly of different work pieces. During the drilling of composites it will undergo in the delamination process, which in turn reduces the strength as well as the efficiency of composites materials. In the present work drilling was carried out by using the various feeds (0.1, 0.2, 0.3 mm/rev), speeds (1000, 2000, 3000 rpm) and drill point angles (90 0 , 104 0 , 118 0) on the banana polyester reinforced composites. The delamination factor was measured by using machine vision system and digital image analysis. The mathematical model were developed using regression analysis to correlate the various machining parameters with the delamination factor and thrust force. Also the ANOVA has been used to found the effectiveness of the factors as well as their combinations. Optimization has been performed using the desirability function to find out the optimum machining condition for drilling of banana fibre reinforced composites.

The machinability of fiber reinforced composites is emphatically affected not only by the kind of fiber used in the composite but also by its properties. Milling composite materials is a very usual and plays a vital role for the assembly of composite structures. However, milling of composites is a somewhat complicated errand inferable from the heterogeneity of the material and a plenty of different issues, for instance, delamination factor, which show up amid the machining process and are connected with the qualities of the material and the cutting parameters. Present study looks into the influence of spindle speed, feed rate and depth of cut on thrust force, torque and delamination factor in hemp fiber reinforced polyester composites. The composite specimens were formulated using hand lay-up method. The analysis for attaining the optimality condition is performed using ANOVA and regression model. It was observed that the grouping of the inferior value of feed (0.1 mm/rev), lower spindle speed (1500 rpm) as well as the lower depth of cut (1.5 mm) results in minimum delamination factor and torque. The feed was found to be more significant than the depth of cut for thrust force.

BackgroundIt is conceivable that lean patients (body mass index 18.5–24.9 kg/m2 (HF) have low body weight due to low food consumption and that this may contribute to micronutrient deficiencies and to their poorer prognosis compared with overweight/obese patients. We hypothesized that lean patients have a greater number of inadequate micronutrient intakes (<50% of recommendations) than overweight/obese patients and that this also depends on age.Methods and ResultsLean (n = 15) and overweight/obese (n = 49) patients underwent 24‐hour diet and physical activity recall interviews. Inadequate essential micronutrient intakes were ubiquitous (intakes of 13 ± 1 of 27 micronutrients were inadequate) and did not depend on race, income status, or access to supermarkets. Younger (40–64 y) lean patients had inadequate intakes of 20 ± 2 micronutrients, which was more than the other weight/age subgroups (all P < .01). Physical activity levels did not differ across weight/age subgroups.ConclusionsPatients with HF may be at risk of malnutrition due to numerous inadequate micronutrient intakes; younger lean patients may have an especially high risk. Future studies are needed to confirm these preliminary findings and to investigate the possibility that incorporating a micronutrient‐dense meal plan will improve patient outcomes.Support or Funding InformationSaint Louis University Beaumont Award