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app.py

@@ -0,0 +1,91 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import io
+
+# Load steam density CSV
+@st.cache_data
+def load_density_data():
+    return pd.read_csv("steam_density.csv").round()
+
+density_df = load_density_data()
+
+# List of commercially available pipe sizes
+commercial_pipes = [15, 20, 25, 40, 50, 65, 80, 100, 125, 150]
+
+def get_nearest_commercial_size(size):
+    """Find the nearest upper commercially available pipe size."""
+    for pipe in commercial_pipes:
+        if size <= pipe:
+            return pipe
+    return "Not Available"  # If size exceeds the largest available pipe
+
+# Function to calculate new pipe size
+def calculate_new_line_size(flow_kg_hr, pressure_bar, density_df):
+    pressure_bar_new = round(float(pressure_bar))
+    # Interpolate density from CSV data
+    density = np.interp(pressure_bar_new, density_df["Pressure (bar)"], density_df["Density Saturated (kg/m³)"])
+    
+    # Convert flow to kg/s
+    flow_kg_s = flow_kg_hr / 3600
+    
+    # Velocity range for saturated steam
+    velocity = 30  # Mid-range velocity in m/s
+    
+    # Calculate required pipe diameter (m)
+    diameter_m = np.sqrt((4 * flow_kg_s) / (np.pi * velocity * density))
+    
+    # Convert to mm
+    return round(diameter_m * 1000, 1)
+
+# Streamlit UI
+st.title("Steam Pipe Line Size Validator")
+
+num_lines = st.number_input("Number of Lines to Validate", min_value=1, step=1)
+
+data = []
+if num_lines:
+    for i in range(num_lines):
+        st.subheader(f"Line {i+1}")
+        name = st.text_input(f"Line {i+1} Name", key=f"name_{i}")
+        flow = st.number_input(f"Flow (Kg/hr) for Line {i+1}", min_value=1.0, step=0.1, key=f"flow_{i}")
+        pressure = st.number_input(f"Pressure (bar) for Line {i+1}", min_value=1.0, step=0.1, key=f"pressure_{i}")
+        present_size = st.number_input(f"Present Line Size (mm) for Line {i+1}", min_value=1.0, step=0.1, key=f"size_{i}")
+        data.append([name, round(flow), round(pressure), round(present_size)])
+
+    if st.button("Validate All Lines"):
+        validated_data = []
+        for entry in data:
+            name, flow, pressure, present_size = entry
+            new_size = calculate_new_line_size(flow, pressure, density_df)
+            nearest_commercial_size = get_nearest_commercial_size(new_size)
+            
+            # Allow minor tolerance
+            tolerance = 5  # ±5 mm
+            status = "Yes" if abs(new_size - present_size) <= tolerance else "No"
+            
+            validated_data.append([name, flow, pressure, present_size, new_size, nearest_commercial_size, status])
+
+        df_result = pd.DataFrame(validated_data, columns=[
+            "Line Name", "Flow (Kg/hr)", "Pressure (bar)", "Present Size (mm)", 
+            "New Size (mm)", "Commercial Size (mm)", "Valid"
+        ])
+        
+        # Apply styling
+        def highlight_status(val):
+            return 'background-color: green; color: white;' if val == "Yes" else 'background-color: red; color: white;'
+
+        st.dataframe(df_result.style.applymap(highlight_status, subset=["Valid"]))
+
+        # Convert DataFrame to Excel file in-memory
+        output = io.BytesIO()
+        with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
+            df_result.to_excel(writer, index=False, sheet_name="Validated Lines")
+        
+        # Download button
+        st.download_button(
+            "Download Excel File",
+            data=output.getvalue(),
+            file_name="validated_steam_lines.xlsx",
+            mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+        )

requirements.txt

@@ -0,0 +1,3 @@
+pandas
+numpy
+streamlit

steam_density.csv

@@ -0,0 +1,51 @@
+Pressure (bar),Density Saturated (kg/m³)
+1,0.6
+2,0.848528137423857
+3,1.0392304845413263
+4,1.2
+5,1.3416407864998738
+6,1.4696938456699067
+7,1.5874507866387544
+8,1.697056274847714
+9,1.7999999999999998
+10,1.8973665961010275
+11,1.9899748742132397
+12,2.0784609690826525
+13,2.1633307652783933
+14,2.244994432064365
+15,2.32379000772445
+16,2.4
+17,2.473863375370596
+18,2.545584412271571
+19,2.615339366124404
+20,2.6832815729997477
+21,2.7495454169735036
+22,2.814249455894058
+23,2.8774989139876315
+24,2.9393876913398134
+25,3.0
+26,3.0594117081556704
+27,3.117691453623979
+28,3.1749015732775088
+29,3.2310988842807022
+30,3.2863353450309964
+31,3.3406586176980126
+32,3.394112549695428
+33,3.4467375879228173
+34,3.4985711369071804
+35,3.5496478698597698
+36,3.5999999999999996
+37,3.6496575181789312
+38,3.6986484017813854
+39,3.746998799039039
+40,3.794733192202055
+41,3.841874542459709
+42,3.888444419044716
+43,3.9344631145812
+44,3.9799497484264794
+45,4.024922359499621
+46,4.069397989875161
+47,4.113392760240626
+48,4.156921938165305
+49,4.2
+50,4.242640687119285