Create analysis.py

analysis.py

@@ -0,0 +1,37 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+def stress_analysis(force, die_width, die_height, material_strength, temperature_change=50, alpha=1e-5, elastic_modulus=200000, fatigue_strength=150):
+    try:
+        stress = force / (die_width * die_height)
+        safety_factor = material_strength / stress
+        thermal_stress = elastic_modulus * alpha * temperature_change
+        fatigue_stress = fatigue_strength
+
+        x = np.linspace(1, 100, 100)
+        stress_curve = stress * x / 100
+        material_strength_curve = np.full_like(x, material_strength)
+        safety_factor_curve = material_strength_curve / stress_curve
+        thermal_stress_curve = np.full_like(x, thermal_stress)
+        fatigue_strength_curve = np.full_like(x, fatigue_stress)
+
+        fig, ax = plt.subplots(figsize=(10, 6))
+        ax.plot(x, stress_curve, label="Stress (σ)", color="blue")
+        ax.plot(x, material_strength_curve, label="Material Strength (σ_y)", color="green")
+        ax.plot(x, safety_factor_curve, label="Safety Factor (SF)", color="orange")
+        ax.plot(x, thermal_stress_curve, label="Thermal Stress (σ_thermal)", color="purple")
+        ax.plot(x, fatigue_strength_curve, label="Fatigue Strength (σ_fatigue)", color="brown")
+        ax.axhline(1, color="red", linestyle="--", label="Critical Safety Threshold (SF=1)")
+
+        ax.set_title("Combined Stress Analysis Parameters")
+        ax.set_xlabel("Operational Range (%)")
+        ax.set_ylabel("Parameter Value (MPa or Unitless)")
+        ax.legend()
+        ax.grid()
+
+        plt.tight_layout()
+        plt.close(fig)
+
+        return f"Safety Factor: {round(safety_factor, 2)}", fig
+    except Exception as e:
+        return f"Error in stress analysis: {str(e)}", None