Monroe Calculator Company

Monroe Calculator Company – Precision Engineering Tools :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; } h2, h3 { color: var(–primary-color); margin-top: 1.5em; margin-bottom: 0.5em; } .calculator-section { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; } .calculator-section h2 { text-align: center; 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Monroe Calculator Company

Precision Tools for Engineering Excellence

Monroe Precision Factor Calculator

e.g., Steel is approx. 7850 kg/m³
e.g., 1 liter = 0.001 m³
e.g., 2% for standard precision
e.g., 1.5 for moderate stress

Calculation Results

Component Mass: kg
Mass Variance (Min): kg
Mass Variance (Max): kg
Effective Stress Load: kg
Formula Used:

Component Mass = Material Density × Component Volume
Mass Variance = Component Mass × (Manufacturing Tolerance / 100)
Effective Stress Load = Component Mass × Operational Stress Factor

Mass Variance vs. Operational Stress
Min Mass Variance Max Mass Variance Effective Stress Load
Key Calculation Parameters
Parameter Value Unit
Material Density kg/m³
Component Volume
Manufacturing Tolerance %
Operational Stress Factor Unitless

What is the Monroe Calculator Company's Precision Factor?

The Monroe Calculator Company is renowned for its commitment to precision engineering. While not a single, universally defined "Monroe Calculator" in the way a mortgage calculator is, the term often refers to the sophisticated tools and methodologies the company employs to ensure accuracy in complex calculations related to material properties, component performance, and manufacturing tolerances. These tools are vital for engineers and designers who need to predict and control the behavior of physical components under various conditions. The core idea revolves around quantifying the interplay between material characteristics, physical dimensions, manufacturing imperfections, and operational demands.

Who Should Use Monroe Precision Tools?

Engineers, product designers, manufacturing specialists, quality control managers, and R&D professionals across various industries benefit immensely from understanding and applying the principles behind Monroe's precision calculations. This includes sectors like automotive, aerospace, heavy machinery, electronics, and any field where component reliability and performance are critical. Misconceptions often arise that these are simple, off-the-shelf calculators; instead, they represent a framework for rigorous analysis.

Common Misconceptions

  • Oversimplification: Thinking that a single input yields a final answer without considering multiple interacting factors.
  • Universality: Believing a single "Monroe formula" applies to all engineering problems. In reality, Monroe's expertise lies in developing tailored calculation frameworks.
  • Ignoring Tolerances: Underestimating the impact of manufacturing variations on final product performance and safety.

Monroe Precision Factor Formula and Mathematical Explanation

The "Monroe Precision Factor" isn't a single, fixed formula but rather a conceptual approach to calculating critical performance metrics. Our calculator models a common scenario: determining the potential mass variance and effective stress load of a component based on its material properties, volume, manufacturing precision, and operational stress. Here's a breakdown of the underlying calculations:

Step-by-Step Derivation

  1. Calculate Base Component Mass: This is the theoretical mass of a perfect component.
  2. Determine Mass Variance: This quantifies the expected deviation from the base mass due to manufacturing imperfections.
  3. Calculate Effective Stress Load: This estimates the load the component might experience, factoring in its mass and operational conditions.

Variable Explanations

The calculator uses the following key variables:

Variable Meaning Unit Typical Range
Material Density (ρ) Mass per unit volume of the material used. kg/m³ 100 – 20000 (e.g., Air ~1.2, Water ~1000, Steel ~7850, Tungsten ~19300)
Component Volume (V) The theoretical volume of the component. 0.000001 – 10 (Small electronic parts to large structural elements)
Manufacturing Tolerance (T) The acceptable percentage deviation from the ideal dimensions/mass. % 0.1 – 10 (Higher for rough casting, lower for precision machining)
Operational Stress Factor (S) A multiplier representing the intensity of forces or loads the component will endure. Unitless 1.0 – 5.0 (1.0 for minimal stress, higher for dynamic or high-load applications)

Core Formulas Implemented

  • Component Mass (M) = ρ × V
  • Mass Variance (ΔM) = M × (T / 100)
  • Effective Stress Load (L) = M × S

The primary result displayed, "Monroe Precision Factor," is conceptually represented by the range of possible masses (from M – ΔM to M + ΔM) and the calculated effective stress load (L), highlighting the potential variability and load-bearing requirements.

Practical Examples (Real-World Use Cases)

Example 1: Precision Machined Steel Shaft

An engineer is designing a critical steel shaft for an industrial gearbox. Precision is paramount to minimize vibration and ensure smooth power transmission. They use the Monroe calculator to assess potential variations.

  • Inputs:
    • Material Density: 7850 kg/m³ (Steel)
    • Component Volume: 0.0005 m³ (Approx. 500 cm³)
    • Manufacturing Tolerance: 0.5% (High precision machining)
    • Operational Stress Factor: 2.0 (Moderate gearbox load)
  • Calculations:
    • Component Mass = 7850 kg/m³ × 0.0005 m³ = 3.925 kg
    • Mass Variance = 3.925 kg × (0.5 / 100) = 0.0196 kg
    • Effective Stress Load = 3.925 kg × 2.0 = 7.85 kg
  • Results Interpretation: The shaft's actual mass is expected to be within ±0.0196 kg of 3.925 kg. The effective load it needs to withstand is estimated at 7.85 kg. This information is crucial for selecting bearings and ensuring the shaft's structural integrity under load, considering the tight manufacturing tolerances.

Example 2: Cast Aluminum Housing

A product designer is developing a housing for an electronic device using cast aluminum. Weight and structural rigidity are important, but the casting process introduces more variability.

  • Inputs:
    • Material Density: 2700 kg/m³ (Aluminum)
    • Component Volume: 0.002 m³ (Approx. 2 liters)
    • Manufacturing Tolerance: 5% (Typical for casting)
    • Operational Stress Factor: 1.2 (Relatively low stress environment)
  • Calculations:
    • Component Mass = 2700 kg/m³ × 0.002 m³ = 5.4 kg
    • Mass Variance = 5.4 kg × (5 / 100) = 0.27 kg
    • Effective Stress Load = 5.4 kg × 1.2 = 6.48 kg
  • Results Interpretation: The housing's mass could vary by as much as ±0.27 kg from the nominal 5.4 kg due to casting tolerances. The effective load is 6.48 kg. Designers must account for this significant mass variance in their overall product weight calculations and ensure the housing provides adequate rigidity despite potential variations in wall thickness or material density. This highlights the importance of understanding material properties.

How to Use This Monroe Precision Factor Calculator

  1. Input Material Density: Enter the density of the material your component is made from (e.g., 7850 for steel).
  2. Input Component Volume: Enter the theoretical volume of the component in cubic meters.
  3. Input Manufacturing Tolerance: Specify the expected percentage variation from the ideal dimensions or mass.
  4. Input Operational Stress Factor: Enter a value representing the load or stress the component will experience.
  5. Click 'Calculate Factors': The calculator will instantly display the estimated Component Mass, the range of Mass Variance (Min and Max), and the Effective Stress Load.
  6. Interpret Results:
    • Primary Result (Effective Stress Load): This is the key metric indicating the load the component must handle.
    • Component Mass: The theoretical mass.
    • Mass Variance: Shows the potential deviation due to manufacturing imperfections. A wider range suggests less predictable outcomes.
  7. Use the Table and Chart: Review the table for a summary of your inputs and the chart for a visual representation of how mass variance and stress load relate.
  8. Reset or Copy: Use the 'Reset' button to clear fields and start over, or 'Copy Results' to save the key figures and assumptions.

This tool helps engineers make informed decisions about material selection, manufacturing processes, and design safety margins. For instance, a large mass variance might necessitate tighter quality control or a redesign.

Key Factors That Affect Monroe Precision Factor Results

  1. Material Density (ρ): Denser materials will result in heavier components for the same volume. This directly impacts mass calculations and, consequently, stress load estimations. Choosing the right material is fundamental.
  2. Component Volume (V): Larger components naturally have greater mass. The relationship is linear, meaning doubling the volume doubles the mass, assuming constant density. This is a primary driver of the overall scale of the results.
  3. Manufacturing Tolerance (T): This is critical. Higher tolerances mean greater uncertainty in the final mass and dimensions. This can affect fit, weight, and structural performance. Precision engineering aims to minimize this factor.
  4. Operational Stress Factor (S): This multiplier accounts for real-world forces. A component designed for static, low-load conditions (S ≈ 1.0) will have different requirements than one subjected to dynamic impacts or high pressures (S > 2.0). This directly influences the calculated Effective Stress Load.
  5. Surface Finish and Coatings: While not directly in this simplified calculator, variations in surface finish or the application of coatings (like paint or plating) add or subtract mass and can affect dimensional accuracy, indirectly influencing the effective tolerance.
  6. Temperature Effects: Materials expand and contract with temperature changes. This can alter component dimensions (affecting volume and thus mass variance) and material properties (like density and strength), impacting performance under operational stress. Understanding thermal expansion is key in many applications.
  7. Design Complexity: Intricate designs can be harder to manufacture to tight tolerances, potentially increasing the manufacturing tolerance factor. Complex geometries also influence how stress is distributed.
  8. Quality Control Processes: Robust QC measures help ensure components fall within the specified tolerance range, reducing the actual variance compared to the theoretical maximum.

Frequently Asked Questions (FAQ)

Q1: What exactly is the "Monroe Precision Factor"?

A: It's not a single, standardized value but represents the outcome of calculations using Monroe's engineering principles to assess component mass, its potential variance due to manufacturing tolerances, and the effective stress load it might encounter. It's a measure of predictability and performance under load.

Q2: Can I use this calculator for any material?

A: Yes, as long as you can accurately input its density (kg/m³). The calculator is based on fundamental physics (mass = density × volume).

Q3: My component volume is very small, like 0.00001 m³. How do I input that?

A: Use decimal notation, e.g., 0.00001. Ensure your input field accepts it. For very small volumes, precision in density and tolerance becomes even more critical.

Q4: What does an "Operational Stress Factor" of 1.0 mean?

A: It signifies that the component experiences minimal or no external forces beyond its own weight. This is rare in mechanical systems but might apply to components in purely informational roles.

Q5: How does the "Manufacturing Tolerance" affect the results?

A: It directly determines the range of possible masses (Mass Variance). A higher tolerance percentage leads to a wider potential spread in the component's actual mass compared to its theoretical mass.

Q6: Is the "Effective Stress Load" the maximum force the component will experience?

A: It's an estimate based on the component's mass and a stress factor. The actual maximum force depends on the specific application dynamics, which might be more complex than this factor represents. It's a useful baseline for design considerations.

Q7: Can this calculator predict component failure?

A: No, it provides key parameters (mass, variance, stress load) that are inputs for more detailed failure analysis (like Finite Element Analysis – FEA). It helps quantify variables but doesn't perform the full failure prediction.

Q8: What if my material density is in g/cm³?

A: Convert it to kg/m³. 1 g/cm³ = 1000 kg/m³. For example, aluminum at 2.7 g/cm³ is 2700 kg/m³.

Q9: How does Monroe Calculator Company ensure the accuracy of its tools?

A: Monroe's reputation is built on rigorous validation, peer review, and continuous refinement of their calculation methodologies, often based on extensive empirical data and advanced simulation techniques. This calculator is a simplified representation of those principles.

© 2023 Monroe Calculator Company. All rights reserved.

var canvas = document.getElementById('monroeChart'); var ctx = canvas.getContext('2d'); var chartInstance = null; function isValidNumber(value) { return !isNaN(parseFloat(value)) && isFinite(value); } function updateChart(mass, varianceMin, varianceMax, stressLoad) { if (chartInstance) { chartInstance.destroy(); } var baseMass = parseFloat(document.getElementById('componentMass').innerText); if (!isValidNumber(baseMass) || baseMass === 0) baseMass = 1; // Avoid division by zero or NaN var dataPoints = 5; var stressLevels = []; var minMasses = []; var maxMasses = []; var stressLoads = []; var stressFactor = parseFloat(document.getElementById('operationalStressFactor').value); if (!isValidNumber(stressFactor) || stressFactor <= 0) stressFactor = 1.5; var tolerance = parseFloat(document.getElementById('manufacturingTolerance').value); if (!isValidNumber(tolerance) || tolerance < 0) tolerance = 2; var density = parseFloat(document.getElementById('materialDensity').value); if (!isValidNumber(density) || density <= 0) density = 7850; var volume = parseFloat(document.getElementById('componentVolume').value); if (!isValidNumber(volume) || volume <= 0) volume = 0.001; var calculatedMass = density * volume; var calculatedVariance = calculatedMass * (tolerance / 100); for (var i = 0; i < dataPoints; i++) { var currentStress = 1 + (stressFactor – 1) * (i / (dataPoints – 1)); stressLevels.push(currentStress.toFixed(1)); minMasses.push(calculatedMass – calculatedVariance); maxMasses.push(calculatedMass + calculatedVariance); stressLoads.push(calculatedMass * currentStress); } chartInstance = new Chart(ctx, { type: 'line', data: { labels: stressLevels, datasets: [{ label: 'Min Mass (kg)', data: minMasses, borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1 }, { label: 'Max Mass (kg)', data: maxMasses, borderColor: '#dc3545', backgroundColor: 'rgba(220, 53, 69, 0.1)', fill: false, tension: 0.1 }, { label: 'Effective Stress Load (kg)', data: stressLoads, borderColor: '#ffc107', backgroundColor: 'rgba(255, 193, 7, 0.1)', fill: false, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, labelString: 'Operational Stress Factor' } }, y: { title: { display: true, labelString: 'Mass (kg)' } } }, plugins: { legend: { display: false // Legend is handled by custom div }, title: { display: true, text: 'Mass Variance and Stress Load vs. Operational Stress' } } } }); } function calculateMonroeFactors() { var density = document.getElementById('materialDensity').value; var volume = document.getElementById('componentVolume').value; var tolerance = document.getElementById('manufacturingTolerance').value; var stressFactor = document.getElementById('operationalStressFactor').value; // Clear previous errors document.getElementById('materialDensityError').innerText = ''; document.getElementById('componentVolumeError').innerText = ''; document.getElementById('manufacturingToleranceError').innerText = ''; document.getElementById('operationalStressFactorError').innerText = ''; var errors = false; if (!isValidNumber(density) || parseFloat(density) <= 0) { document.getElementById('materialDensityError').innerText = 'Please enter a valid positive number for density.'; errors = true; } if (!isValidNumber(volume) || parseFloat(volume) <= 0) { document.getElementById('componentVolumeError').innerText = 'Please enter a valid positive number for volume.'; errors = true; } if (!isValidNumber(tolerance) || parseFloat(tolerance) < 0) { document.getElementById('manufacturingToleranceError').innerText = 'Please enter a valid non-negative number for tolerance.'; errors = true; } if (!isValidNumber(stressFactor) || parseFloat(stressFactor) <= 0) { document.getElementById('operationalStressFactorError').innerText = 'Please enter a valid positive number for stress factor.'; errors = true; } if (errors) { document.getElementById('primaryResult').innerText = '–'; document.getElementById('componentMass').innerText = '–'; document.getElementById('massVarianceMin').innerText = '–'; document.getElementById('massVarianceMax').innerText = '–'; document.getElementById('effectiveStressLoad').innerText = '–'; updateTableData('–', '–', '–', '–'); updateChart('–', '–', '–', '–'); return; } var densityNum = parseFloat(density); var volumeNum = parseFloat(volume); var toleranceNum = parseFloat(tolerance); var stressFactorNum = parseFloat(stressFactor); var componentMass = densityNum * volumeNum; var massVariance = componentMass * (toleranceNum / 100); var effectiveStressLoad = componentMass * stressFactorNum; var massVarianceMin = componentMass – massVariance; var massVarianceMax = componentMass + massVariance; document.getElementById('primaryResult').innerText = effectiveStressLoad.toFixed(2) + ' kg'; document.getElementById('componentMass').innerText = componentMass.toFixed(2); document.getElementById('massVarianceMin').innerText = massVarianceMin.toFixed(2); document.getElementById('massVarianceMax').innerText = massVarianceMax.toFixed(2); document.getElementById('effectiveStressLoad').innerText = effectiveStressLoad.toFixed(2); updateTableData(densityNum, volumeNum, toleranceNum, stressFactorNum); updateChart(componentMass, massVarianceMin, massVarianceMax, effectiveStressLoad); } function updateTableData(density, volume, tolerance, stressFactor) { document.getElementById('tableDensity').innerText = typeof density === 'number' ? density.toFixed(0) : '–'; document.getElementById('tableVolume').innerText = typeof volume === 'number' ? volume.toFixed(5) : '–'; document.getElementById('tableTolerance').innerText = typeof tolerance === 'number' ? tolerance.toFixed(1) : '–'; document.getElementById('tableStressFactor').innerText = typeof stressFactor === 'number' ? stressFactor.toFixed(1) : '–'; } function resetCalculator() { document.getElementById('materialDensity').value = 7850; document.getElementById('componentVolume').value = 0.001; document.getElementById('manufacturingTolerance').value = 2; document.getElementById('operationalStressFactor').value = 1.5; document.getElementById('materialDensityError').innerText = ''; document.getElementById('componentVolumeError').innerText = ''; document.getElementById('manufacturingToleranceError').innerText = ''; document.getElementById('operationalStressFactorError').innerText = ''; calculateMonroeFactors(); // Recalculate with default values } function copyResults() { var primaryResult = document.getElementById('primaryResult').innerText; var componentMass = document.getElementById('componentMass').innerText; var massVarianceMin = document.getElementById('massVarianceMin').innerText; var massVarianceMax = document.getElementById('massVarianceMax').innerText; var effectiveStressLoad = document.getElementById('effectiveStressLoad').innerText; var density = document.getElementById('tableDensity').innerText; var volume = document.getElementById('tableVolume').innerText; var tolerance = document.getElementById('tableTolerance').innerText; var stressFactor = document.getElementById('tableStressFactor').innerText; var assumptions = "Key Assumptions:\n" + "- Material Density: " + density + " kg/m³\n" + "- Component Volume: " + volume + " m³\n" + "- Manufacturing Tolerance: " + tolerance + " %\n" + "- Operational Stress Factor: " + stressFactor + "\n"; var resultsText = "Monroe Precision Factor Results:\n" + "——————————–\n" + "Effective Stress Load: " + effectiveStressLoad + "\n" + "Component Mass: " + componentMass + " kg\n" + "Mass Variance (Min): " + massVarianceMin + " kg\n" + "Mass Variance (Max): " + massVarianceMax + " kg\n\n" + assumptions; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copy failed!'; // Optionally show a temporary message to the user var tempMsg = document.createElement('div'); tempMsg.textContent = msg; tempMsg.style.position = 'fixed'; tempMsg.style.bottom = '10px'; tempMsg.style.left = '50%'; tempMsg.style.transform = 'translateX(-50%)'; tempMsg.style.backgroundColor = '#004a99'; tempMsg.style.color = 'white'; tempMsg.style.padding = '10px 20px'; tempMsg.style.borderRadius = '5px'; tempMsg.style.zIndex = '10000'; document.body.appendChild(tempMsg); setTimeout(function(){ document.body.removeChild(tempMsg); }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); var tempMsg = document.createElement('div'); tempMsg.textContent = 'Copy failed!'; tempMsg.style.position = 'fixed'; tempMsg.style.bottom = '10px'; tempMsg.style.left = '50%'; tempMsg.style.transform = 'translateX(-50%)'; tempMsg.style.backgroundColor = 'red'; tempMsg.style.color = 'white'; tempMsg.style.padding = '10px 20px'; tempMsg.style.borderRadius = '5px'; tempMsg.style.zIndex = '10000'; document.body.appendChild(tempMsg); setTimeout(function(){ document.body.removeChild(tempMsg); }, 2000); } document.body.removeChild(textArea); } // Initialize chart and results on load document.addEventListener('DOMContentLoaded', function() { // Add Chart.js library dynamically if not present if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; script.onload = function() { calculateMonroeFactors(); // Calculate after chart library is loaded }; script.onerror = function() { console.error("Failed to load Chart.js library."); document.getElementById('chartContainer').innerHTML = 'Error loading chart. Please check your internet connection.'; }; document.head.appendChild(script); } else { calculateMonroeFactors(); // Calculate immediately if Chart.js is already available } // FAQ toggles var faqItems = document.querySelectorAll('.faq-item strong'); for (var i = 0; i < faqItems.length; i++) { faqItems[i].addEventListener('click', function() { var content = this.nextElementSibling; if (content.style.display === "block") { content.style.display = "none"; } else { content.style.display = "block"; } }); } });

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